{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import keras._tf_keras\n",
    "from modules import *\n",
    "from public_function import *\n",
    "# 设置模型参数\n",
    "img_width,img_height = 224,224\n",
    "# 数据集被分为多批，每批32个样本（一次梯度更新使用的样本数量）\n",
    "# 大批减小梯度更新的方差，训练更稳定，消耗内存更大\n",
    "batch_size = 64\n",
    "# 数据集被遍历的次数（过拟合or拟合不充分）\n",
    "# epochs = 50\n",
    "epochs = 2\n",
    "# 梯度下降法中调整参数权重的步长大小，决定迭代中参数更新幅度\n",
    "learning_rate = 1e-3\n",
    "# 加载在imagenet数据集上预训练过的MobilenetV2模型\n",
    "basemodel = MobileNetV2(weights = 'imagenet',include_top = False,input_shape = (img_width,img_height,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_1\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"functional_1\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)        </span>┃<span style=\"font-weight: bold\"> Output Shape      </span>┃<span style=\"font-weight: bold\">    Param # </span>┃<span style=\"font-weight: bold\"> Connected to      </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ input_layer_1       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>,  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                 │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)                │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ Conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">864</span> │ input_layer_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ bn_Conv1            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ Conv1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ Conv1_relu (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ bn_Conv1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_dept… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ Conv1_relu[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_dept… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ expanded_conv_de… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_dept… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ expanded_conv_de… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_proj… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │ expanded_conv_de… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_proj… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span> │ expanded_conv_pr… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_expand      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ expanded_conv_pr… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_expand_BN   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ block_1_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_expand_relu │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_1_expand_B… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_pad         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">113</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">113</span>,  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_1_expand_r… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_depthwise   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">864</span> │ block_1_pad[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ block_1_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_1_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_project     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,304</span> │ block_1_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_project_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span> │ block_1_project[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_expand      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,456</span> │ block_1_project_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_expand_BN   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ block_2_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_expand_relu │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_2_expand_B… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_depthwise   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,296</span> │ block_2_expand_r… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ block_2_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_2_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_project     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,456</span> │ block_2_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_project_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span> │ block_2_project[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_1_project_… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)               │            │ block_2_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_expand      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,456</span> │ block_2_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_expand_BN   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ block_3_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_expand_relu │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_3_expand_B… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_pad         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_3_expand_r… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_depthwise   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,296</span> │ block_3_pad[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ block_3_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_3_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">144</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_project     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">4,608</span> │ block_3_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_project_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block_3_project[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_expand      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │ block_3_project_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_expand_BN   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │ block_4_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_expand_relu │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_4_expand_B… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_depthwise   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,728</span> │ block_4_expand_r… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │ block_4_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_4_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_project     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │ block_4_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_project_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block_4_project[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_3_project_… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │ block_4_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_expand      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │ block_4_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_expand_BN   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │ block_5_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_expand_relu │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_5_expand_B… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_depthwise   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,728</span> │ block_5_expand_r… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │ block_5_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_5_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_project     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │ block_5_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_project_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block_5_project[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_4_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │            │ block_5_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_expand      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │ block_5_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_expand_BN   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │ block_6_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_expand_relu │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_6_expand_B… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_pad         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">29</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">29</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_6_expand_r… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_depthwise   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,728</span> │ block_6_pad[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │ block_6_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_6_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_project     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">12,288</span> │ block_6_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_project_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │ block_6_project[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_expand      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">24,576</span> │ block_6_project_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_expand_BN   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block_7_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_expand_relu │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_7_expand_B… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_depthwise   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,456</span> │ block_7_expand_r… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block_7_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_7_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_project     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">24,576</span> │ block_7_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_project_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │ block_7_project[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_6_project_… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │ block_7_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_expand      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">24,576</span> │ block_7_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_expand_BN   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block_8_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_expand_relu │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_8_expand_B… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_depthwise   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,456</span> │ block_8_expand_r… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block_8_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_8_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_project     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">24,576</span> │ block_8_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_project_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │ block_8_project[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_7_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │ block_8_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_expand      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">24,576</span> │ block_8_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_expand_BN   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block_9_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_expand_relu │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_9_expand_B… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_depthwise   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,456</span> │ block_9_expand_r… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block_9_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_depthwise_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_9_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_project     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">24,576</span> │ block_9_depthwis… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_project_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │ block_9_project[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_8_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │ block_9_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_expand     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">24,576</span> │ block_9_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_expand_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block_10_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_expand_re… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_10_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_depthwise  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,456</span> │ block_10_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block_10_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_10_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_project    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">36,864</span> │ block_10_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_project_BN │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ block_10_project… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_expand     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">55,296</span> │ block_10_project… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_expand_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,304</span> │ block_11_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_expand_re… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_11_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_depthwise  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">5,184</span> │ block_11_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,304</span> │ block_11_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_11_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_project    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">55,296</span> │ block_11_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_project_BN │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ block_11_project… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_10_project… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │ block_11_project… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_expand     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">55,296</span> │ block_11_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_expand_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,304</span> │ block_12_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_expand_re… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_12_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_depthwise  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">5,184</span> │ block_12_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,304</span> │ block_12_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_12_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_project    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">55,296</span> │ block_12_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_project_BN │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │ block_12_project… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_11_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)               │            │ block_12_project… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_expand     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">55,296</span> │ block_12_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_expand_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,304</span> │ block_13_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_expand_re… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_13_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_pad        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">15</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">15</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_13_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_depthwise  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">5,184</span> │ block_13_pad[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,304</span> │ block_13_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_13_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_project    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>) │     <span style=\"color: #00af00; text-decoration-color: #00af00\">92,160</span> │ block_13_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_project_BN │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block_13_project… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_expand     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block_13_project… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_expand_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block_14_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_expand_re… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_14_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_depthwise  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block_14_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block_14_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_14_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_project    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block_14_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_project_BN │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block_14_project… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_13_project… │\n",
       "│                     │                   │            │ block_14_project… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_expand     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block_14_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_expand_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block_15_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_expand_re… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_15_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_depthwise  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block_15_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block_15_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_15_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_project    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block_15_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_project_BN │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block_15_project… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_14_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                     │                   │            │ block_15_project… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_expand     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block_15_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_expand_BN  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block_16_expand[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_expand_re… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_16_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_depthwise  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block_16_expand_… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)   │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block_16_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_depthwise… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block_16_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_project    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">307,200</span> │ block_16_depthwi… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_project_BN │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,280</span> │ block_16_project… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ Conv_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,      │    <span style=\"color: #00af00; text-decoration-color: #00af00\">409,600</span> │ block_16_project… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)             │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ Conv_1_bn           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,      │      <span style=\"color: #00af00; text-decoration-color: #00af00\">5,120</span> │ Conv_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)             │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ out_relu (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ReLU</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ Conv_1_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)             │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ global_average_poo… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ out_relu[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePool…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1024</span>)      │  <span style=\"color: #00af00; text-decoration-color: #00af00\">1,311,744</span> │ global_average_p… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>)         │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,050</span> │ dense[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
       "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m   Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to     \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ input_layer_1       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m,  │          \u001b[38;5;34m0\u001b[0m │ -                 │\n",
       "│ (\u001b[38;5;33mInputLayer\u001b[0m)        │ \u001b[38;5;34m3\u001b[0m)                │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ Conv1 (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │        \u001b[38;5;34m864\u001b[0m │ input_layer_1[\u001b[38;5;34m0\u001b[0m]… │\n",
       "│                     │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ bn_Conv1            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │        \u001b[38;5;34m128\u001b[0m │ Conv1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ Conv1_relu (\u001b[38;5;33mReLU\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │          \u001b[38;5;34m0\u001b[0m │ bn_Conv1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
       "│                     │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_dept… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │        \u001b[38;5;34m288\u001b[0m │ Conv1_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_dept… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │        \u001b[38;5;34m128\u001b[0m │ expanded_conv_de… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_dept… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │          \u001b[38;5;34m0\u001b[0m │ expanded_conv_de… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_proj… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │        \u001b[38;5;34m512\u001b[0m │ expanded_conv_de… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m16\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ expanded_conv_proj… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │         \u001b[38;5;34m64\u001b[0m │ expanded_conv_pr… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m16\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_expand      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │      \u001b[38;5;34m1,536\u001b[0m │ expanded_conv_pr… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_expand_BN   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │        \u001b[38;5;34m384\u001b[0m │ block_1_expand[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_expand_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m,  │          \u001b[38;5;34m0\u001b[0m │ block_1_expand_B… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_pad         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m113\u001b[0m, \u001b[38;5;34m113\u001b[0m,  │          \u001b[38;5;34m0\u001b[0m │ block_1_expand_r… │\n",
       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)     │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_depthwise   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │        \u001b[38;5;34m864\u001b[0m │ block_1_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ block_1_depthwis… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_1_depthwis… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_project     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │      \u001b[38;5;34m2,304\u001b[0m │ block_1_depthwis… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m24\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_1_project_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │         \u001b[38;5;34m96\u001b[0m │ block_1_project[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m24\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_expand      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │      \u001b[38;5;34m3,456\u001b[0m │ block_1_project_… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_expand_BN   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ block_2_expand[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_expand_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_2_expand_B… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_depthwise   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │      \u001b[38;5;34m1,296\u001b[0m │ block_2_expand_r… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ block_2_depthwis… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_2_depthwis… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_project     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │      \u001b[38;5;34m3,456\u001b[0m │ block_2_depthwis… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m24\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_project_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │         \u001b[38;5;34m96\u001b[0m │ block_2_project[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m24\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_2_add (\u001b[38;5;33mAdd\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_1_project_… │\n",
       "│                     │ \u001b[38;5;34m24\u001b[0m)               │            │ block_2_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_expand      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │      \u001b[38;5;34m3,456\u001b[0m │ block_2_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_expand_BN   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ block_3_expand[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_expand_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_3_expand_B… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_pad         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_3_expand_r… │\n",
       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)     │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_depthwise   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │      \u001b[38;5;34m1,296\u001b[0m │ block_3_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m576\u001b[0m │ block_3_depthwis… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_3_depthwis… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m144\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_project     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │      \u001b[38;5;34m4,608\u001b[0m │ block_3_depthwis… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_3_project_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m128\u001b[0m │ block_3_project[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_expand      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │      \u001b[38;5;34m6,144\u001b[0m │ block_3_project_… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_expand_BN   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m768\u001b[0m │ block_4_expand[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_expand_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_4_expand_B… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_depthwise   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │      \u001b[38;5;34m1,728\u001b[0m │ block_4_expand_r… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m768\u001b[0m │ block_4_depthwis… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_4_depthwis… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_project     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │      \u001b[38;5;34m6,144\u001b[0m │ block_4_depthwis… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_project_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m128\u001b[0m │ block_4_project[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_4_add (\u001b[38;5;33mAdd\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_3_project_… │\n",
       "│                     │ \u001b[38;5;34m32\u001b[0m)               │            │ block_4_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_expand      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │      \u001b[38;5;34m6,144\u001b[0m │ block_4_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_expand_BN   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m768\u001b[0m │ block_5_expand[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_expand_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_5_expand_B… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_depthwise   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │      \u001b[38;5;34m1,728\u001b[0m │ block_5_expand_r… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m768\u001b[0m │ block_5_depthwis… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_5_depthwis… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_project     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │      \u001b[38;5;34m6,144\u001b[0m │ block_5_depthwis… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_project_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m128\u001b[0m │ block_5_project[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m32\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_5_add (\u001b[38;5;33mAdd\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_4_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n",
       "│                     │ \u001b[38;5;34m32\u001b[0m)               │            │ block_5_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_expand      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │      \u001b[38;5;34m6,144\u001b[0m │ block_5_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_expand_BN   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m768\u001b[0m │ block_6_expand[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_expand_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_6_expand_B… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_pad         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m29\u001b[0m, \u001b[38;5;34m29\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_6_expand_r… │\n",
       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)     │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_depthwise   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,728\u001b[0m │ block_6_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │        \u001b[38;5;34m768\u001b[0m │ block_6_depthwis… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_6_depthwis… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m192\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_project     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m12,288\u001b[0m │ block_6_depthwis… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_6_project_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │        \u001b[38;5;34m256\u001b[0m │ block_6_project[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_expand      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m24,576\u001b[0m │ block_6_project_… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_expand_BN   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,536\u001b[0m │ block_7_expand[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_expand_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_7_expand_B… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_depthwise   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m3,456\u001b[0m │ block_7_expand_r… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,536\u001b[0m │ block_7_depthwis… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_7_depthwis… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_project     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m24,576\u001b[0m │ block_7_depthwis… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_project_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │        \u001b[38;5;34m256\u001b[0m │ block_7_project[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_7_add (\u001b[38;5;33mAdd\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_6_project_… │\n",
       "│                     │ \u001b[38;5;34m64\u001b[0m)               │            │ block_7_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_expand      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m24,576\u001b[0m │ block_7_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_expand_BN   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,536\u001b[0m │ block_8_expand[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_expand_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_8_expand_B… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_depthwise   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m3,456\u001b[0m │ block_8_expand_r… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,536\u001b[0m │ block_8_depthwis… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_8_depthwis… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_project     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m24,576\u001b[0m │ block_8_depthwis… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_project_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │        \u001b[38;5;34m256\u001b[0m │ block_8_project[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_8_add (\u001b[38;5;33mAdd\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_7_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n",
       "│                     │ \u001b[38;5;34m64\u001b[0m)               │            │ block_8_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_expand      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m24,576\u001b[0m │ block_8_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_expand_BN   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,536\u001b[0m │ block_9_expand[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_expand_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_9_expand_B… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_depthwise   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m3,456\u001b[0m │ block_9_expand_r… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,536\u001b[0m │ block_9_depthwis… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_depthwise_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_9_depthwis… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_project     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m24,576\u001b[0m │ block_9_depthwis… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_project_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │        \u001b[38;5;34m256\u001b[0m │ block_9_project[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_9_add (\u001b[38;5;33mAdd\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_8_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n",
       "│                     │ \u001b[38;5;34m64\u001b[0m)               │            │ block_9_project_… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_expand     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m24,576\u001b[0m │ block_9_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_expand_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,536\u001b[0m │ block_10_expand[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_expand_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_10_expand_… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_depthwise  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m3,456\u001b[0m │ block_10_expand_… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,536\u001b[0m │ block_10_depthwi… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_10_depthwi… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m384\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_project    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m36,864\u001b[0m │ block_10_depthwi… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_10_project_BN │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ block_10_project… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_expand     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m55,296\u001b[0m │ block_10_project… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_expand_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m2,304\u001b[0m │ block_11_expand[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_expand_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_11_expand_… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_depthwise  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m5,184\u001b[0m │ block_11_expand_… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m2,304\u001b[0m │ block_11_depthwi… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_11_depthwi… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_project    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m55,296\u001b[0m │ block_11_depthwi… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_project_BN │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ block_11_project… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_11_add (\u001b[38;5;33mAdd\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_10_project… │\n",
       "│                     │ \u001b[38;5;34m96\u001b[0m)               │            │ block_11_project… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_expand     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m55,296\u001b[0m │ block_11_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_expand_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m2,304\u001b[0m │ block_12_expand[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_expand_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_12_expand_… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_depthwise  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m5,184\u001b[0m │ block_12_expand_… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m2,304\u001b[0m │ block_12_depthwi… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_12_depthwi… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_project    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m55,296\u001b[0m │ block_12_depthwi… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_project_BN │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │        \u001b[38;5;34m384\u001b[0m │ block_12_project… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_12_add (\u001b[38;5;33mAdd\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_11_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "│                     │ \u001b[38;5;34m96\u001b[0m)               │            │ block_12_project… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_expand     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │     \u001b[38;5;34m55,296\u001b[0m │ block_12_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_expand_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m2,304\u001b[0m │ block_13_expand[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_expand_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_13_expand_… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_pad        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ block_13_expand_… │\n",
       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)     │ \u001b[38;5;34m576\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_depthwise  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) │      \u001b[38;5;34m5,184\u001b[0m │ block_13_pad[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) │      \u001b[38;5;34m2,304\u001b[0m │ block_13_depthwi… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m576\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ block_13_depthwi… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_project    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) │     \u001b[38;5;34m92,160\u001b[0m │ block_13_depthwi… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_13_project_BN │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) │        \u001b[38;5;34m640\u001b[0m │ block_13_project… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_expand     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │    \u001b[38;5;34m153,600\u001b[0m │ block_13_project… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_expand_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │      \u001b[38;5;34m3,840\u001b[0m │ block_14_expand[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_expand_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ block_14_expand_… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_depthwise  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │      \u001b[38;5;34m8,640\u001b[0m │ block_14_expand_… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │      \u001b[38;5;34m3,840\u001b[0m │ block_14_depthwi… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ block_14_depthwi… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_project    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) │    \u001b[38;5;34m153,600\u001b[0m │ block_14_depthwi… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_project_BN │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) │        \u001b[38;5;34m640\u001b[0m │ block_14_project… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_14_add (\u001b[38;5;33mAdd\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ block_13_project… │\n",
       "│                     │                   │            │ block_14_project… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_expand     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │    \u001b[38;5;34m153,600\u001b[0m │ block_14_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_expand_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │      \u001b[38;5;34m3,840\u001b[0m │ block_15_expand[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_expand_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ block_15_expand_… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_depthwise  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │      \u001b[38;5;34m8,640\u001b[0m │ block_15_expand_… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │      \u001b[38;5;34m3,840\u001b[0m │ block_15_depthwi… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ block_15_depthwi… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_project    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) │    \u001b[38;5;34m153,600\u001b[0m │ block_15_depthwi… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_project_BN │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) │        \u001b[38;5;34m640\u001b[0m │ block_15_project… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_15_add (\u001b[38;5;33mAdd\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m160\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ block_14_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "│                     │                   │            │ block_15_project… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_expand     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │    \u001b[38;5;34m153,600\u001b[0m │ block_15_add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_expand_BN  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │      \u001b[38;5;34m3,840\u001b[0m │ block_16_expand[\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_expand_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ block_16_expand_… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_depthwise  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │      \u001b[38;5;34m8,640\u001b[0m │ block_16_expand_… │\n",
       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)   │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │      \u001b[38;5;34m3,840\u001b[0m │ block_16_depthwi… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_depthwise… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ block_16_depthwi… │\n",
       "│ (\u001b[38;5;33mReLU\u001b[0m)              │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_project    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m320\u001b[0m) │    \u001b[38;5;34m307,200\u001b[0m │ block_16_depthwi… │\n",
       "│ (\u001b[38;5;33mConv2D\u001b[0m)            │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ block_16_project_BN │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m320\u001b[0m) │      \u001b[38;5;34m1,280\u001b[0m │ block_16_project… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ Conv_1 (\u001b[38;5;33mConv2D\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,      │    \u001b[38;5;34m409,600\u001b[0m │ block_16_project… │\n",
       "│                     │ \u001b[38;5;34m1280\u001b[0m)             │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ Conv_1_bn           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,      │      \u001b[38;5;34m5,120\u001b[0m │ Conv_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1280\u001b[0m)             │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ out_relu (\u001b[38;5;33mReLU\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,      │          \u001b[38;5;34m0\u001b[0m │ Conv_1_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "│                     │ \u001b[38;5;34m1280\u001b[0m)             │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1280\u001b[0m)      │          \u001b[38;5;34m0\u001b[0m │ out_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
       "│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m)      │  \u001b[38;5;34m1,311,744\u001b[0m │ global_average_p… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m)         │      \u001b[38;5;34m2,050\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
       "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">3,571,778</span> (13.63 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m3,571,778\u001b[0m (13.63 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,316,354</span> (5.02 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,316,354\u001b[0m (5.02 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,255,424</span> (8.60 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,255,424\u001b[0m (8.60 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from glob import glob\n",
    "folder = glob(\"D:\\\\cmmd_data\\\\PNG\\\\TRAIN\\\\*\")\n",
    "print(len(folder))\n",
    "\n",
    "# 添加用于分类的全连接层\n",
    "x = basemodel.output # 获取输出层（特征映射）\n",
    "\n",
    "# 处理modle的输出\n",
    "# x = Conv2D(64, (3,3), ....) \n",
    "x = GlobalAveragePooling2D()(x) # 对输入的特征映射进行全局平均池化（降维）（计算输入特征映射的所有值的总和，将其除以特征映射的元素数量，得到一个单一的标量值）\n",
    "x = Dense(1024,activation = 'relu')(x) # 1024个神经元，全连接，激活函数为relu\n",
    "# 生成二分类的输出\n",
    "predictions = Dense(2,activation = 'softmax')(x) # 接受输入为上一层的输出x，激活函数为sigmoid（[0,1]之间属于正类1的概率）\n",
    "\n",
    "# 模型构建(基于MobilenetV2，仅包含最后一个全连接层)\n",
    "model = Model(inputs = basemodel.input,outputs = predictions)\n",
    "\n",
    "# 冻结前几层\n",
    "for layer in basemodel.layers[:-2]:\n",
    "    layer.trainable = False\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 编译模型\n",
    "model.compile(optimizer=Adam(learning_rate=learning_rate),\n",
    "              loss='categorical_crossentropy',\n",
    "              metrics=['precision'],\n",
    ")\n",
    "# 'accuracy',,'precision', 'recall', 'f1_score', 'auc'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 2392 images belonging to 2 classes.\n",
      "Found 752 images belonging to 2 classes.\n"
     ]
    }
   ],
   "source": [
    "# 加载数据集\n",
    "# 根据灰度值分割图像\n",
    "# keras可以接受的数据格式为numpy数组\n",
    "\n",
    "# 数据增强(灰度值缩放到【0，1】之间，剪切范围为0.2，缩放范围为[0.8,1.2],50%几率被水平翻转，边界外最近填充)\n",
    "train_datagen = ImageDataGenerator(\n",
    "    # preprocessing_function=seg_resize,\n",
    "    rescale=1./255,\n",
    "    # shear_range=0.2,\n",
    "    zoom_range=0.2,\n",
    "    horizontal_flip=True,\n",
    ")\n",
    "# 测试数据，用于评估模型性能，只缩放灰度值\n",
    "test_datagen = ImageDataGenerator(\n",
    "    # preprocessing_function=seg_resize,\n",
    "    rescale=1./255,\n",
    ")\n",
    "\n",
    "# 读取训练数据和测试数据\n",
    "train_generator = train_datagen.flow_from_directory(\n",
    "    \"D:\\\\cmmd_data\\\\PNG\\\\TRAIN\",\n",
    "    target_size=(img_width, img_height),\n",
    "    batch_size=batch_size,\n",
    "    class_mode='categorical',  # 二分类\n",
    "    # repeat = True\n",
    ")\n",
    "test_generator = test_datagen.flow_from_directory(\n",
    "    \"D:\\\\cmmd_data\\\\PNG\\\\TEST\",\n",
    "    target_size=(img_width, img_height),\n",
    "    batch_size=batch_size,\n",
    "    class_mode='categorical',\n",
    "    # repeat = True\n",
    ")\n",
    "\n",
    "# # train_generator正确地执行?\n",
    "# for batch_x, batch_y in train_generator:\n",
    "#     print(\"Batch shape:\", batch_x.shape, batch_y.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "38\n",
      "<keras.src.legacy.preprocessing.image.DirectoryIterator object at 0x0000020141F66060>\n"
     ]
    }
   ],
   "source": [
    "print(len(train_generator))\n",
    "print(train_generator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m138s\u001b[0m 3s/step - loss: 0.5806 - precision: 0.6967 - val_loss: 0.5913 - val_precision: 0.7088\n",
      "Epoch 2/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 44ms/step - loss: 0.5654 - precision: 0.7812 - val_loss: 0.5044 - val_precision: 0.7500\n",
      "Epoch 3/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m138s\u001b[0m 3s/step - loss: 0.5785 - precision: 0.7039 - val_loss: 0.5920 - val_precision: 0.7074\n",
      "Epoch 4/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 35ms/step - loss: 0.6439 - precision: 0.6562 - val_loss: 0.5276 - val_precision: 0.7500\n",
      "Epoch 5/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m131s\u001b[0m 3s/step - loss: 0.5578 - precision: 0.7115 - val_loss: 0.6054 - val_precision: 0.7045\n",
      "Epoch 6/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 35ms/step - loss: 0.5907 - precision: 0.6719 - val_loss: 0.6082 - val_precision: 0.6875\n",
      "Epoch 7/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m133s\u001b[0m 3s/step - loss: 0.5636 - precision: 0.7091 - val_loss: 0.5817 - val_precision: 0.7145\n",
      "Epoch 8/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 44ms/step - loss: 0.5456 - precision: 0.7188 - val_loss: 0.6031 - val_precision: 0.6875\n",
      "Epoch 9/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m132s\u001b[0m 3s/step - loss: 0.5566 - precision: 0.7210 - val_loss: 0.5801 - val_precision: 0.7060\n",
      "Epoch 10/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 42ms/step - loss: 0.5988 - precision: 0.7917 - val_loss: 0.6012 - val_precision: 0.6667\n",
      "Epoch 11/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m124s\u001b[0m 3s/step - loss: 0.5402 - precision: 0.7310 - val_loss: 0.5741 - val_precision: 0.7074\n",
      "Epoch 12/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 40ms/step - loss: 0.5100 - precision: 0.7656 - val_loss: 0.5321 - val_precision: 0.7708\n",
      "Epoch 13/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m123s\u001b[0m 3s/step - loss: 0.5390 - precision: 0.7437 - val_loss: 0.5923 - val_precision: 0.6889\n",
      "Epoch 14/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 40ms/step - loss: 0.5511 - precision: 0.7031 - val_loss: 0.4944 - val_precision: 0.8125\n",
      "Epoch 15/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m121s\u001b[0m 3s/step - loss: 0.5396 - precision: 0.7294 - val_loss: 0.5723 - val_precision: 0.7088\n",
      "Epoch 16/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 39ms/step - loss: 0.5304 - precision: 0.7188 - val_loss: 0.5780 - val_precision: 0.7083\n",
      "Epoch 17/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m118s\u001b[0m 3s/step - loss: 0.5566 - precision: 0.7161 - val_loss: 0.5732 - val_precision: 0.7088\n",
      "Epoch 18/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 40ms/step - loss: 0.5682 - precision: 0.7188 - val_loss: 0.6108 - val_precision: 0.6458\n",
      "Epoch 19/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m120s\u001b[0m 3s/step - loss: 0.5531 - precision: 0.7241 - val_loss: 0.5854 - val_precision: 0.7102\n",
      "Epoch 20/20\n",
      "\u001b[1m37/37\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 38ms/step - loss: 0.5865 - precision: 0.6719 - val_loss: 0.6407 - val_precision: 0.6667\n"
     ]
    }
   ],
   "source": [
    "# 记录每次训练过程中的损失值和性能指标\n",
    "history = History()\n",
    "# vis = Visdom()\n",
    "# # 创建图形来显示损失函数和准确率\n",
    "# win_loss = vis.line(X=np.array([0]), Y=np.array([0]), win='loss_plot', opts=dict(legend=['Loss']))\n",
    "# win_accuracy = vis.line(X=np.array([0]), Y=np.array([0]), win='accuracy_plot', opts=dict(legend=['Accuracy']))\n",
    "# win_loss = vis.line(X=np.array([0]), Y=np.array([0]), win='precision_plot', opts=dict(legend=['Precision']))\n",
    "# win_accuracy = vis.line(X=np.array([0]), Y=np.array([0]), win='recall_plot', opts=dict(legend=['Recall']))\n",
    "# win_accuracy = vis.line(X=np.array([0]), Y=np.array([0]), win='f1-score_plot', opts=dict(legend=['F1-score']))\n",
    "# 训练咯\n",
    "r = model.fit(train_generator,\n",
    "    validation_data=test_generator,\n",
    "    steps_per_epoch=2392//batch_size,  # total number of samples / batchsize,   2392//batchsize 每个遍历（epoch）都遍历了step个batchsize（分批读取）图像\n",
    "    validation_steps=752//batch_size,  # 752//batchsize\n",
    "    epochs=20,\n",
    "    callbacks = [history]\n",
    "    )\n",
    "# for epoch in range(epochs):\n",
    "#     vis.line(X=np.array([epoch]), Y=np.array([history.history['loss'][epoch]]), win=win_loss, update='append')\n",
    "#     vis.line(X=np.array([epoch]), Y=tnp.array([history.history['accuracy'][epoch]]), win=win_accuracy, update='append')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+mCVLljj3WbJkCS+//DKvvvoqCQkJlJSUUFJSQmOjeHiECq0c1D8pmuhI7wdhRUeayEpU/fxi0S8IgqBTwijD4nVb84IFCzh37hwPPPAAJSUlTJw4kXXr1jmFuMXFxRiNrjgoJyeH999/n5/97GeMHz+eAQMGcNddd3Hfffc59/nLX/4CwGWXXdbmvZ5//nluu+02Hz6W0FO0DiFfBLcauf1iKalporiigUm5Kf5amiAIguAPLA1QfkRt67xDCHwIWEBpTZYuXdrhcxs3brzgsZkzZ7J169ZOj2e3i3273uhJh5BGXmos2wsqnBOfBUEQBB1R9iXYbRCXDgkd61D1hMwSEjqkwFHGGeRDh5CGcwiitDYLgiDoj7Ofq/us8RAGjRESsAgd4o8Mi9OLRVqbBUEQ9EcY6VdAAhahA+x2uzNgGeTF0MP25DszLBKwCIIg6I4wcbjVkIBFuIBzdc3UW6wYDa72ZF/IS1UZlnO1zTRYWv21PEEQBKGnWFuVhgUgW/8tzSABi9ABmki2f3IMURHetzRrJMVGkhSjBl4WS5ZFEARBP5w/Cq1NYI6HlPDwPpOARbiAwh443LbHKbwVHYsgCIJ+0MpBmWPBGB6hQHisUggqBT2YIdSe3FSXRb8gCIKgE8JMcAsSsAgd4I8OIQ1pbRYEQdAh7i3NYYIELMIFFDqyIT3pENLQhLdSEhIEQdAJdrtkWITwx263O2f/+KUkpE1tFtGtIAiCPqgqhqZqMEZC+qhQr8ZjJGAR2lBW20yDxYrJaOhRS7OGVhI6XdlIq9XWzd6CIAhCwNGyKxkjIcIc2rV4gQQsQhsKHPqVgSkxRJp6/uuRmRCNOcJIq83OmaqmHh9PEARB6CFOw7jw8F/RkIBFaINTcOuHchCA0WhwdgoVnhfhrSAIQsgJQ/0KSMAitMM59NAPHUIaeali0S8IQh9n/xr4XS4c/TDUKwk7S34NCViENrgyLD3Xr2g4hbeSYREEoa+yfZUSuv7nN6pLJ1TUl0PtGcAAWWNDtw4fkIBFaINmy+8PDxYNrbwkrc2CIPRJmqrh5Da1fXYvnN4VurVo/iupgyEqIXTr8AEJWAQnNpvdqTPxl4YFpLVZEIQ+zomPwW51/Xv7qtCtJUz1KyABi+BGSU0Tza02IowGBqbE+O24moaluKIBeyhToYIgCKHg2EfqPucidX9gDdSfD81awlS/AhKwCG5o+pWc1Fgi/NDSrDEwJRajARosVs7VNfvtuD3CZoXzx6HVEuqVCILQm7Hb4dh6tX3pvdB/ElgtsOel0KxHMixCb8A19NB/glsAc4SR7CSVsQnZEES7Hc4dhm3Pwms3w6OD4OnJ8O+fhWY9giD0Dc4dhppTEBEN+bNh2h3q8R2r1YVTMGmuUxdqEHYeLAARoV6AoB/8OfSwPXn9Yjld1UjR+Qam5qf6/fgdUlWsascFn6hbXcmF+3zxGsx9EOIzgrMmQRD6Flo5KG82RMbA2G/BB/8Pqovh6Acw4qrgraV0P2CHhGyITw/e+/oJCVgEJwXl2tDDwAQsm4+fD6wXS905KPzEFaRUFrR9PiIaci+CQZfCoMvgvXuVWn/vq3Dx3YFblyAIfRctYBk6V91HxsCkW2Dz07DjueAGLGGsXwEJWAQ3AtEhpJHrmNrsVy+Wphoo2qSCkxMfQ9mBts8bTDBgCgyeo4KUgdMhMtr1/JRFKmDZ/SLM+ikYpUIqCIIfsdSrcxS4AhaAqd+HzX9Swcz549BvSHDWU+JoaQ5D/QpIwCI4sNrsTn1JoDIs0EO325ZG5WWgBShn9rRtFQTIHKeCk8FzIG9W1z4DY6+Hdcuh4gQUfqpeIwiC4C8KNymBbVIupA1zPZ46WAUwxz6Enath3m+Ds56SfepeMixCOHOmqhGL1YbZZKR/sv9amjW0eUJemcdZW1VQUrBRBSnF28DarssodTAMmqOCjfxLIC7N8+Ob42D8jbDzr7DrBQlYBEHwL85y0FfBYGj73PTFKmDZ8ze4/Jdg9m+zwwVYW6DsoNqWDIsQzmjloJzUGExGQzd7e4+WYamot1Db1EJCdGTXL2i1wMrZUH6k7eMJ2SpAGXSpuiXn9GxhU25TAcvB/1OW1d4EPIIgCF3RXr/iztC5kJwHVUWw/18w+XuBXcu5QyrbE5Wk3jcMkaK9ALg6hAJRDgJIiI4kNc4MeJhlOX9UBSvGCBh1DVz9GCzdCcsOwvXPwKSbex6sgLrS6D8ZbC1KfCsIguAPKk5AxXF1Dht06YXPG00w7Xa1vWNV4OcLOQW34y7M9oQJErAIgKtDKBCCW408byz6KxwdPlnjYMHLKn2aNiwwf2hTblP3u14I7VAyQRB6D5pZXM5FEJ3Y8T4TbwFTlJrvc2pnYNcTxoZxGhKwCIBbh1CAMizgsuj3KMNSWajuUwYFbD1Oxn4LzPHqaqjws8C/nyAIvR8tYBn61c73ieunzj+gsiyBJMxbmkECFsFBoEtCALmO7E1xhQetzZqHSmoQApaoeBj3bbW964XAv58gCL2b1mbVKAAd61fcme5wvj3wpvKSCgQ2m6tDSDIsQjjTarU5yzS6ybBoJaGU/ICtpw1aWejg2tANJfOGjf8Lr38PLDIBWxB0R/FWaKmH+ExV1u6KAVOUjs5qUR1DgaCyACy1qvyUNjww7xEEJGAROF3VSKvNTlSEkezE6O5f4CNOLxaPSkJawBKEDAtA/4mQPVGdND7/e3De01dK9sPGh1VwFagTnCAIvqN1Bw3poJ25I6YvVvc7nw/MfCFNv5I5GkzddGjqGAlYBAoc5aC8frEYA9DSrJHrCFjOVjdiabV1vqPNquYAQXBKQhrhIr795Peu7S1/Un41giDoB0/0K+6MuQ5iUtR8oSPv+389vUC/AhKwCLgNPQxghxBAenwUsWYTNjucquwiy1J9CmytYDJDQv+ArqkN426AyDjVUl20OXjv6w1lB+HLt9V2VKIK7L58K6RLEgTBjZozjjEhBhjyFc9eExkDkxw+LIEQ3/aCDiHwMWBZsWIF+fn5REdHM2PGDLZv397l/lVVVSxZsoTs7GyioqIYPnw47777bo+OKfiPwgBa8rtjMBhcjrddtTZr5aDkvODO94lKUEEL6Fd8+8ljgF1508xcqh7b9Ad9Z4Ta09IIW/8C1adDvRJB8D9admXAFIj1YjL9tNsBAxz/j5ov5E+cGZYJ/j1ukPH62+D1119n2bJlPPjgg+zevZsJEyYwb948ysrKOtzfYrHwta99jcLCQt544w0OHz7MqlWrGDBggM/HFPyLVhIKpOBWQwtYirvSsVQEsUOoPVpZ6Mu3oaEi+O/fFeeOKEdMgEt/rurekbHq6qng49CuzRvW/xrW/QLW/iTUKxEE/9OVu21XpOTDsCvU9o6/+m89tSVQXwYGI2SO8d9xQ4DXAcsTTzzB4sWLWbRoEaNHj2blypXExsayevXqDvdfvXo1FRUVvPXWW8yePZv8/HzmzJnDhAkTfD6m4F8COaW5PR4Jb4PpwdKe/pNUndfaDJ+/Fvz374pPHwfsMOJqldqNTVVj6kFlWcKB2lI1CgHUlaSmVRKE3oC1FU5sUNveBiwA0xwtzntf9l8HoJZd6Tcs8POKAoxXAYvFYmHXrl3Mnev6QRiNRubOncuWLVs6fM3atWuZOXMmS5YsITMzk7Fjx/Lwww9jtVp9PmZzczM1NTVtboJvtFhtnKpsBAJfEgKXF0vR+S68WILpwdIeg0Gf4tvzx2HfP9T2pfe6Hp+5RF05Hf+Py2dBz2z6A7Q2Of5hhz2vhHQ5guBXTu+CpmqIToYBk71//dC5KtPSVA37/umfNZV8ru7DXL8CXgYs5eXlWK1WMjMz2zyemZlJSUlJh685ceIEb7zxBlarlXfffZf777+fxx9/nN/85jc+H/ORRx4hKSnJecvJ8cNMmT7KyYoGrDY7MZEmMhOjAv5+eZ5oWILtwdKecd9WpZbyw8pPQQ98+gTYbSpl7H4iTMmH0deq7c1Ph2JlnlNb4squTLxZ3e95OTBtnIIQCpztzF9Rs4K8xWiEqX6eL9RLOoQgCF1CNpuNjIwMnn32WaZMmcKCBQv45S9/ycqVK30+5vLly6murnbeTp486ccV9y20clBev1gMQRiI5T5PyGbr4I/Rbg9tSQjU3A/NLlsP4tvKQpc3zKU/v/D52T9V9/vegCod/y1o2ZWB0ymb8zD26GSoOeVKoQtCuOOrfsWdSbdARLTKmJ7a0fM19ZIOIfAyYElLS8NkMlFaWtrm8dLSUrKysjp8TXZ2NsOHD8dkckWbo0aNoqSkBIvF4tMxo6KiSExMbHMTfEMbehiMchDAgOQYIowGLK02SmubLtyhsRKaHSW+lBCOQJ+ySN0feDP04ttPnwC7VV215Uy78Pn+k9Q0WLtVdd/okdoS2Kk0aXuG/Ijp/7uJvSnz1HO7XwrhwgTBT9SXw5k9attT/5WOiE2FsY5uxe09bHFuqnZdAPa1DIvZbGbKlCmsX7/e+ZjNZmP9+vXMnDmzw9fMnj2bY8eOYbO5jMKOHDlCdnY2ZrPZp2MK/qMwiB1CABEmIwNSYoBOhLdaOSihv/ImCBUDJkPmOCW+/eIfoVtHVTHsfVVtz7mv8/1m3aXud72ggj694ZZdWXVaBaIra2ep5w69q072ghDOHN8A2NV5I6Hji22PmeYoC335Vs/mC2m6tqQc71qsdYrXJaFly5axatUqXnzxRQ4ePMidd95JfX09ixapK9KFCxeyfPly5/533nknFRUV3HXXXRw5coR33nmHhx9+mCVLlnh8TCFwaCWhQUHoENLosrW5MsT6FQ2DAabcqrZDKb797CmwtagMSu5Fne839KuQMUbNL9mps+46t+xK65xf8OlRNavp/fJ0WrMmqs+nt44sQfAWZzmoB9kVjQGTlY+L1QK7X/T9OFrA0guyK+BDwLJgwQIee+wxHnjgASZOnMjevXtZt26dUzRbXFzM2bNnnfvn5OTw/vvvs2PHDsaPH89Pf/pT7rrrLn7xi194fEwhcATTg0XD2drc0dTmUHqwtGf8jRARA+cOwskQGBlWn3bNCuoquwIqwNK0LFtXQksH5bZQoWVXcmawyziB2mbXKIFjA65XG7tf0k9HliB4i80GxzU7/h7oV9yZ5of5Qmd7j34FIMKXFy1dupSlS5d2+NzGjRsveGzmzJls3dp1t0VXxxQCQ3OrlTNVqqU5Py14/fl5qVprc0cZlkJ1HyrBrTvRSUp8u/dllWXJnRHc99/0B3WFlTcb8i/ufv+x31KmbDWn4IvXXRmiUOKWXeGyX7DhSNvSz7vMZqTWkXVqB+RMD8EiBaGHlHwB9efAHA85fjpPjLkO3v9v9fd8ZB2M/Lpv64K+m2EReg8nKxqw2SHObCI9PvAtzRq5bp1CFxBKD5aO0DxZDqwJrjaktsTVoTSng86gjjBFwkV3qu3NT6urvlDjll1h8OVsPKzcqy8ZlgbA5lMWV1t2T1LfghBKtHLQoDkQYfbPMSOjYbJjvpAv4tvWZjh3SG33kgyLBCx9GK1DKD8tLigtzRpdut2G2oOlPQOnKm1IaxN84ScjJ0/Y9Ecl+M25SJ0EPWXKrRCVpAY4HnkvcOvzhHbZlZKaZg6V1GIwwM++NhyAL05V0zzB4da7/01org3RYgWhB3g7ndlTpn4fMKjW//Jj3r227Es1RDYmFRIHdL9/GCABSx8m2B1CGprotrqxheqGFtcTLU1Qe0Zt66EkBKFxvq0rc33Rz/m5WoOnRCXAtO+r7U1/9P/avOGzpzrMrkwYmMyknGTS4s1YrDb2GUYq2/CWeti/JrRrFgRvaaqGk9vUtr8DlpR8GO5o/9/p5Xwhp2HcOO/OITpGApY+TEEIOoQAYs0RpCeoElQb4W1VkbqPStRXC974G5WRU9kBOLUz8O+3+WlobYQBUz0fT+/OjB+ByQwnt0LxNv+vzxNqS2DX82r7sl+AwcDGw6o98/IRGRgMBqbmqZ/xjqIqV+pbPFmEcOPEx8oDqd+wwGSGNfHtnlfA0sVIk/b0IsM4DQlY+jChyrCAy6K/0L0s5F4O0tMVQUyyEsBB4J1v68thx3Nqe859vv0/JGTB+AVqe3OIsiztsistVhufHVOC28tGpAMwNT8FgJ2FFTDhJjBGwOmdUPplaNYsCL7gD3fbrhjyFZVxbvZyvpAzwzKh6/3CCAlY+jBawDIoiB1CGk7hrfsQRL14sHSEVhba/y+VAg4UW1ZASwNkT4RhX/P9OLN+ou4PvQPlR/2yNI9pk11ZDgYDOwsrqWtupV+cmXEDkgCYlq8yLDuLKrHFpsPwK9VrtFZuQdA7dnvg9CsaRqPLSG77c56VpW1WKN2vtiXDIoQ7TS1WzlQrr478IJeEoJPWZq2lWS8dQu7kzID0kapUEyjn24YK2P6s2vY1u6KRPgJGXA3Ygz8U0ZlduQgGXwbAxiNKvzJneDpGo/pco/snEhNporqxhePn6mCyow3787+rDgdB0DvnDqu2Y1OUsh8IFBNvVmXp0n0uvUxXnD+uLnwiY6Hf0MCtK8hIwNJH0QKFhOgIUuP81IbnBS7zuI5KQjoMWIIhvt36F7DUKWvvEVf1/HizHEZyn78GtaVd7+svOtCuAHzs0K/McZSDACJNRibmJAOwo7BSXaEm9Fft44feCc56BaEnaOWg/NlgDmCmOjYVxjnmC2kl467Q9CuZY3ybGq1TJGDpoxQ4y0HBbWnWcE5tbpNh0ZkHS3vGL1BXUqX74fRu/x67sQq2OSaYe9sZ1Bm5F8HA6ao9evszPT+eJ3z25AXZlTNVjRwqqcVogEuHpbfZfZq7jsVogkk3qydEfCuEA4HWr7ijiW8PvKU6Cbvi7OfqvpcYxmlIwNJH0WYIhaIcBJDneN+SmiaaWqzK5KzS0SWkRw0LqKucMdeqbS2L4C+2PaOmVGeMhpHf8M8x3e36dzwHzXX+OW5n1JxVNuLQNrtyRGVXJuYkk9Iumzc1X+sUckzEnuTwZDmxwfX70Jew25VJWDC60YSeYamHok1qOxgBS/+JqnPQ1tK9yWIv7BACCVh6NwWfwF8uhuILxyKEskMIICU2koQoNRniZEUD1J5VmQBjBCQODMmaPKKN+LbGP8dsqoGtK9T2pfcqkZ2/GHE1pA5RQuFAZy02PeUyu3NkVwA2HFJXg5eNyLjgJZNykzEa4GRFI6U1TSpY1Yzy9r4S2PXqkeIt8O49sPYnoV6J0B2Fm9TojKQcSBsenPec7jZfyNra8T52u1uHkAQsfQdri7rSOfh/oV6Jb3zxuhJpdTAJtyCEHUIABoPB2SlUdL7BVQ5KzgWTTyOugkPuTHVyamnwrsWwK7Y/qwKKtBEwer5/jqlhNLk6hrb+Wf1OB4JOsiuWVhubHO3Ml3cQsCRERzIqOxGAnYWO0QeTF6r7PS/7PvQtXNFS+RUFMgxS77hPZw5WWX30tRDbD2pOq/lCHVFzGhorwGBSGdtehAQsXWGpg+e+Cq/fApYObOT1TtVJdX/u8AVPhbokBO2Et3qz5O+MNuLb53v+pdJcC1v+pLYvvTcwArkJN0FcOlSfhANv+v/44Mqu5M5sk13ZWVRBvcVKWryZMf0TO3zp1DylY9lR6CgLjfwGxKSoE+/xDYFZr14pPaDuWxuhqSqkSxG6IZj6FY3IaFdAv6OT+UJadiV9pNq/FyEBS1dEJ4M5QW1XnwrpUnyiWgtYDrb5Ym2wtFJao9pGB4WoJASQ62htLj5f7+bBEhzB7bGyWi77/Qae+/SE9y+ecJNyki3ZB2f29GwhO/6qumL6DYWx1/fsWJ0RGQ0zfqi2N/3R/1funWRXAKe77aVu7cztmer0Y6lwrVczvutrAxHL3Ezzas6Ebh1C11ScgIrjqoQ96NLgvveURaj5Qhs79ljqpfoVkIClawwGSM5R29XFoV2Lt9hsUH1abTdWKgdVB4WOoYfJsZEkxwa/pVmjTYYlyB4sf1h/jMLzDTz2wWHO13np+RGb6ird9MT51lLv8ki55J7Ath9OvR0i41SJ8ISfsxbu2ZV2gxq1+UEdlYOcS3N0Cn15poa6ZkddfpLDqv/wu1B3zr/r1Ss2G5Qdcv275mzo1iJ0jWYWlzMDopOC+94peS6TxY5anHupfgUkYOmeJEfAopVXwoX6c+pLROOc60Soh3IQuOz5i883BNWD5UxVI+/uU18GTS02/vpZgfcH0cpC+97wfcLwzuehoVyVwcZ927djeEpsqmtez6Y/+O+4XWRXTlc1cqS0DqMBLhmW1ukhspNiGJgSg80Oe4odOpassTBgipo2+8WFGqxeSVWhGgCpUXM6ZEsRuiHQ7rbdMf0Odb/31Qu7/yTD0odxZljCLGBpv163gMXdgyWUaKLbk5UN2INoy//i5kKsNjtp8Sq79NKWorZToz0hb7Yq47TUq6DFW1oaXYHDJfcER2h80Y+VEO/ERpe4s6d89mS32ZVJuSndZvKcNv2a8BZcWZbdL/UNAWr7GUpSEtInrc2qAxOCq19xZ/BXIHWwskJwF/83VLjO/VnjQrO2ACIBS3eEa4alql0Jy01462xpDnGGJTsphkiTgRhrHYZGxxdVgAOW+uZWXt2u/m8euX48I7MSqGtu5cUthd4dqL3zrbfsehHqyyApFyZ8x/vX+0JKnmuI4yY/DEWsOeP67O2yK4DbdOZ0umOKQ3jr1LEAjP2WshYvP+KZHXm4U9YuYKmVgEWXFG9VFypxGcqVOhQYjTDNkWXZ4TZfqGSfuk/JD36pKghIwNId4Z5hMTmubDsqCYWopVnDZDSQkxJLjsHh2hiXAVHxAX3PN3adoraplcFpcXx1ZAY/vlzN2Vi9qcCln/CUCd9V/79n93onvm1pUroPgEuWgSnSu/ftCZqR3IE3e27M9tlTnWZXmlutbHZOZ+5cv6KhZVj2FFfRYrWpB6MTYYxDiLy7DwxE1DqE0kaoe8mw6BP3dmZ/eiZ5y8TvQkSMct7WvLZKeq9+BSRg6Z6kXHUfdhkWx3q1gVxuGZYCh+g21CUhUGWhPINjzk2ABbdWm53Vm1TpadHsfIxGA18fl82gtDiqGlp4ZauXX+Bx/WDUNWp7lxfdLHv+pozyEgeqk04wyZ6g2o7tVuXL4ivdZFd2FlY62pmjGJ3dcTuzO8My4kmMjqDBYuXgWTdDPk13c2CN/4z69IqWYdHKDBKw6BOnfiVE5SCNmBS3+UKOFuezvVe/AhKwdE+yI2CpPRM4061AoGVYNFFYfRk0VFDb1EK5oysmVC637uT3iyNPy7AEuBy0/mApRecbSIqJ5FtTlJuuyWjgx5cNAWDVpwVqTIA3OMW3//TM+r61Wek+AC6+GyKivHs/fzD7LnW/+yVV8/YFZ3Zl1gXZFXDpVy4b0Xk7sztGo8Fl0++uY8mZ4TLq2/8v39YaDrQ0qQm7AMMkYNEtNWeg7ABggMGXh3o1LufbL9eqAafODMuE0K0pgEjA0h1x6Wrgnd0WXicQzTcmfaQrS3TusHNKc784M4nRQSxFdEJuaiy5WoYlwB1CWjfQd2fkEmt2iVyvnTSAAckxlNc18/oOLzNp+Zco8ZulzrMv1L2vqu6PhGyXqDTYDL5cCfJaGmDnX71/fTfZFYANDv3KZR7oVzS09uZd7joWg8H1/7SnF5eFyg+rrFdMCvSfrB5rqgpPw8rejJZdGTBZZVhDTfYENeDU1qIGnJYfcTwuGZa+idEISY7ZNu2FrHpGKwkl5UC6oyZ+7pCzQ0gP2RVQXiy5WoYlgCWh/aer2VZQQYTRwK0z89s8F2ky8iNHlmXlx8extNo8P7A34ltrC3z6hNqefXfoXCgNBpjl0LJse0Zd3XtDm+zKhaZZpyobOFbmaGce6kXAkufKsNjdu4Im3KQMuk7vcuk8ehtah1DGGCWWjHT8fdaKF4uuCIW7bXdo4tvNT6sL67gMSMjy61vY7Xb+31v7eHVbMQ0WL7V+fkQCFk8IN+FtUzU0V6vtZPeA5bBuOoQ08vrFkmdUGRZ7AEtCWnblG+OzyUq6MFD49pSBZCREcba6iTW7vXQ1nvBdMEbCmd1dtwt//poyIIzLgCm3evce/mbMdSqYrT8Hn//d89d5kF3RuoOm5KWQFOt5Fm/8wCTMJiPnapsprnDLLMSnqyGO0HvFt5p+JXO0+j9NzFb/Fi8W/WBtdZku6ilgGXMtxKapQYwQkHbmovMNvLy1mF+tPYAxWHOTOkACFk8It9ZmbZ0xqWCOU2UhUBmW86EdetiegYkRZHMegMqo/gF5j5LqJv7vc1XOu/3iwR3uEx1p4geXquf+8vFxWq1eZFni02HUN9R2Z+Jbayt8+pjann0XRMZ4fvxAYIpUviygrsw8HTLo9F3pOLsC7vqV7ruD3ImONDFuoGrFbKNjAdf8lC9e8z4jFA5oAYs2rC7R8bcQTmXo3s7pXepiMDrZVbbTAxFRrr8PCEg5aHuBKtNOyEkiOjKAjtzdIAGLJ2jC23Cx59cyQVpmyBmwuGVYdFISiq47jclgp94eRWFTYFqaX9pSSKvNzvRBqc4vxI747oxcUuPMFJ1v4N9feJmK18pCX/xDWe63Z98/1fiB2DSYusi7YweKyQvVybfiuLLA7w4PsivNrVY2H1cBqDf6FQ1Nx7KzsJ0YeMhXIHGAGjNx6N9eH1f3aCWhzDHqPnGAupeART9o5aAhl+tvovzU74PB8XUegJbmbY6AZfqgVL8f2xskYPGEcM2waOtOH67ua89QXq7S9XopCWkzhIrtGRRXNPr98A0Wl1Hc7Rd3rZGJNUc491mx4Rg2mxfuqvmXKtGwpRb2r2n7nM0Kn/xebc/6icp66YGoeJh2u9re9Ifu3WQ/e1KlnbvIruwoqKTBYiUjwbN25vZMc+pY2gUsRhNMukVt9zbxbWOlyyROu7hI0EpCErDoBj3qVzSSc5QubsDUgIwL2F6oLkKmDwqt0FgCFk8INw1LdbuAJToJElSKuV9jIaCfDIs2pbnYnunsYPIn/9p9mqqGFnJTY5k7KrPb/b83M4+E6AiOltXxwZclnr+R0ejSpbSfMLx/jcpixKS6BHJ6YfoPVRfcqR0u86mO8CC7ArDBUQ6aMzwdgw+1bs3x9vi5eirqLW2fnHgzzim12rDM3oCWXUnKVWZ54CoJiehWH9SXu8whh4RoflB3zH0QFq/3u8PtmapGTlY0YjIanH+foUICFk/QvvirT6mJqnqnfUkInMLbocbTpCdEER+lk5RmhRawZFBU0UEppQfYbHaed4htvz87H5MHfiCJ0ZHcNisfgKf/c6xtt0p3TLxZdbOc2gEl+x2LcMuuzFwScCdfr0nIdI0G2NyFXb+WXcmb3Wl2BdymM4/0Tr+ikRJnZmiG+j/aVdROx5KSp0zvAPa87NPxdYm74FbDWRIS0a0uOL4BsEPmWJcguo+g6VfG9k8M+feGBCyekNhf1QetFmXApnfal4TAmWoeajjNIL2Ug8CZYSkKQIZl45EyTpTXkxAdwben5nT/AgeLZg8i1mziwJkaZ8eLR8RnwMivq20ty/Ll28pjIzoJpv/Ai9UHkVk/AQxKx+LmiOzEw+zKyYoGjp+rx2Q0MHto59OZu2NaZzoWcDnf7nnFc6Gw3tFatTPcAxYpCekKdzv+PoZe9CsgAYtnmCJdVzzhoGPpIsMyzHA65DOE2uCmYfF3wPLcpyoYuml6LnFeXBmkxpm55aI8AJ7+z1Hvsiya+Pbz15X4VsuuXLTEle7XG2nDXIHW5qcvfN49u5J/SaeH0bIrU3JTSIrx3ZRwamc6FoCR31DmarVnXCZe4U5ZO8EtuM43dWXh5bDdG7HZ4LhO7PhDwPYCfehXQAIWz3EKb3s4MC7QtDRBncM5VnO4BWeGRQUsOsmw2O3OgKXInkl5XTP13g4g7IQvz9Sw+fh5TEYDtzpKPN5wxyWDMEcY2V1cxZYT5z1/4aDLIDlP+eCs+YH6MopKhBk/9HoNQUUzkvvidah10+5Un/YouwIu/5XLRnrfHeSONghx3+nqC0clREQpIzmAPS/16H10gd0OZQfVtnuGJTZNeftgb/vzEIJPyRfKrygyDnIuCvVqgkp5XTPHz9VjMLgyn6FEAhZPCRfhrVbzjoyFWLcUniPDkmM8x9Ck0Bn/tKGuVNnDG4zURSlnxjaGYT1AG3J41dgsBiR773mSkRDNd6apn/mf/nPM8xe6i2+19tsZP4KYZK/XEFRyZ6iTsdUC21a6Hvcwu9LU4tbOPNw3/YpGTmoM6QlRtFjtfHGq+sIdNKv+w++pDEQ4U30SmmtUcJI2zPW40SidQnpBKwcNngMR5tCuJcjscJSDRmQmkBwb+s8uAYunhEtrszY+ICmn7dVwbCrlKPX4MJNOOg8cgluSBjIwTa3NH2Whstom1u7VjOJ8t/v/4ZwhRBgNbD5+/kIBaFdMvEWJbwHM8XDRnT6vIajMdmRZdqyG5lqVXdG0ON1kV7YXVNDYYiUzMYpR2Qk9WobBYHBezXVYFsocrdo3ba3eufTqEa1DKG24Kj274+wUkoAlpDinM/dd/coMHehXwMeAZcWKFeTn5xMdHc2MGTPYvn17p/u+8MILGAyGNrfo6LbW6HV1dSxdupSBAwcSExPD6NGjWblyZSdHDBHhkmHRhh5q848cVNZbOGJVdfEBLToxwNNaU1MGkesQAhf7oVPo5S1FWKw2puSlMCnX9zTmgOQYvjVZ/T+u2OBFliUhU2ktQJWCYvXxx94tw6+CfsNUOWvXix5nV8CtHDQ8w6d25vZoOpYOhbfgcvbc/bfu/WP0TJlDcOveIaQhwtvQ01QNJ7epbb22MwcQl+A29PoV8CFgef3111m2bBkPPvggu3fvZsKECcybN4+yss5Ts4mJiZw9e9Z5KypqqwNZtmwZ69at4+WXX+bgwYPcfffdLF26lLVr13r/iQJFuGRYOhLcAgXn6zlmVwGLufJIsFfVMY4OIVIHkZeqhMA9zbA0tVh5eZtnRnGecOdlQzAa4D+Hyth/uoPyRGd840m4/jm4bHmP1xA0jEZHxxCqxdmZXVneZXYF3O34e6Zf0dB0LDuLKjs28Bt7vdIUnD/atX+M3ulIv6Ihbreh58THaop2v6EBHc6qR6obWjhUUgPAtEGh16+ADwHLE088weLFi1m0aJEzExIbG8vq1as7fY3BYCArK8t5y8xsa+C1efNmbr31Vi677DLy8/P5wQ9+wIQJE7rM3AQdpz3/SX1f0XXU0gwUltdz1BGwdNi6Ggq0klBKPrn9VMDSUw3Lm3tOU1FvYUByDFeM7t4orjvy0+K4ZoJKzf95oxdZlthUGP/tC9P8emf8AjWcsa7UkV25GAZ1nV0pPt/AifJ6IowGZg/zvZ3ZnVHZCcSaTdQ2tXKkrPbCHaISYOx1ant3GItvnVOaOwpYZJ5QyNGzu22A2VlUgd0Og9PiyEgI0WT5dngVsFgsFnbt2sXcua4fntFoZO7cuWzZsqXT19XV1ZGXl0dOTg7z58/nwIG2I+JnzZrF2rVrOX36NHa7nQ0bNnDkyBGuuOKKDo/X3NxMTU1Nm1vA0Uosljplpa1XnBmW3DYPF5a7MiycOxTkRXWClmFJ8U+GxW63O6cyL5qdT4TJPxKtJZcPBeC9/SUcLe3gy7M3ERkNF/3I9e/LftHtSzYecbQz56WQGO2fAC3CZGRSbjIAO9sPQtSY7BA3f/mWSt2HG9YWKHdkOzsqCYnoNrTY7W76lb4XsGiGcTMG66ek7dUZvby8HKvVekGGJDMzk5KSjlvvRowYwerVq3n77bd5+eWXsdlszJo1i1OnTjn3efrppxk9ejQDBw7EbDZz5ZVXsmLFCi69tGNHzUceeYSkpCTnLSfHc1Mwn4mMgThHulvPOhZ30a0bBecbOGpzBF2VhdDi/7k9XqNpWFIHkefQsJyuaqTFm0nJbnx85BzHyuqIj4pgwTT//U4Mz0xg3phM7Hb488bjfjuubpl6OwyYopx7u8muAGw45Nt05m6X0Z2OZeA0SBuhOs32/8uv7x0Uyo+CrUW1vSd18PuqlYREdBsazh2GmlNqdEXe7FCvJuhs1ZFhnEbAu4RmzpzJwoULmThxInPmzGHNmjWkp6fzzDPPOPd5+umn2bp1K2vXrmXXrl08/vjjLFmyhI8++qjDYy5fvpzq6mrn7eTJIAUQWtZCrzoWm9XV1px8YUmonEQs5mSw2+C8F+WNQNBcq7wNAFLyyUiIIirCiNVm50yVb8GUll25cWoOCX660tdYerlqOV37+RmKzvt3hIDuiEmGxf+Ba//c7a5NLVanT83lPfRfaY+mY9nRWYbFYGgrvg03NMO4jFEda4Scotuz4TESpLehlYPyZ4NZR2abQaC+udWp2dOL4Ba8DFjS0tIwmUyUlpa2eby0tJSsrCyPjhEZGcmkSZM4dkx9YTY2NvLf//3fPPHEE1xzzTWMHz+epUuXsmDBAh577LEOjxEVFUViYmKbW1BwCm910mXTnrpS1eppMLnSyahSSWF5PWCgNdUxuTnUOhYtuxKTCtFJGI0GcntQFjpcUsunR8sxGlQ5yN+MG5jEZSPSsdrsrPy4D2RZPGRbQQVNLTayEqMZkdmzdub2TMxNxmQ0cLqqsfMgdsJ3lIfJmd1Qss+v7x9wOrLkdyc+CzCoLEyDF+aFgn/ow/qV3cWVWG12BiTH+ORjFSi8CljMZjNTpkxh/XqXJbbNZmP9+vXMnDnTo2NYrVb27dtHdrb6Qm1paaGlpQWjse1STCYTNr1dVei9tVnL/CQOAKPJ+fD5egu1za0YDGDOHqUeDLWOpcLVIaSR5xDeFvkgvF3tyK7MG5NFTmpgroZ+8hWlZXlj1ymfs0C9DVc5yLfpzF0RHxXB6Gx1MbKzMx+cuDQYebXaDrcsS0eW/O5EmNV8KpAhiBqlB+DM3sA3PljqoWiT2u6DAct2nfmvaHhdElq2bBmrVq3ixRdf5ODBg9x5553U19ezaNEiABYuXMjy5a5WzoceeogPPviAEydOsHv3bm655RaKioq44447ANXyPGfOHO699142btxIQUEBL7zwAi+99BLXXXednz6mn9Cs7vWaYemkpVllV6B/UgwRmToJWNw8WDRyU5WOpajcu5JLeV0zb+5VJ/Q7Lglc6+GUvFQuGpxKi9XOs5+cCNj7hBMfH3H4r/hZv6KhjbPf1ZmOBVxloS9eV6MpwoWuOoQ0RHirKNkPr9wIf5kFz86B574K+9eA1T+jPC6gcJPqkkvKUaZ+fQw9DTx0x+tZ0QsWLODcuXM88MADlJSUMHHiRNatW+cU4hYXF7fJllRWVrJ48WJKSkpISUlhypQpbN68mdGjXX+kr732GsuXL+fmm2+moqKCvLw8fvvb3/KjH/3ogvcPKbrPsHQiuHUEAPlpsU6L/tCXhFwtzRq+Zlhe2VqMpdXGhJxkJvfAKM4TfvKVYWw9sY2/by9myeVDSU+ICuj76ZnC8noKtHbmoYGpc0/LT+WFzYWd61gABl8OiQOVQPLQv2HcDQFZi19pqoFqx99rRx1CGokD4Ozeviu8rSyEDQ/DF/8A7KrcbYyA07vgjUVKV3jREph0C0TF++993acz+zlzqHeaWqzsPVkFwIzB+tGvgA8BC8DSpUtZunRph89t3Lixzb+ffPJJnnzyyS6Pl5WVxfPPP+/LUoKL3s3jOsmwaJqQ/H5xkO7IEp0/Dq2W0M3G6KAk5PRi8ULD0tRi5W9bCwFlFOfvskR7Zg3px6TcZPYUV/HcZydYftWogL6fntHM4qbmp/hd5Kwx1WHRf6ikhpqmlo7bpo0m9YX18e+U2V04BCyaYVxCfzV9ujP6qhdL3Tn49DHY8Vel4QEYcx1c/v/U1PMdz8H2Veoibd19sPFhmPp9mP5Dl1i5J/Rh/crnJ6uwtNpIT4giv5++xMYyS8gbtECgsULVOPVGJ6ZxBY6ulkFpcSrFHJWo3BsrQigedfNg0dC8WIorGrB7WKNe+/kZyuss9E+K5qqxngm/e4LBYGCpw5fl5S1FVDVYAv6eemWjoxx0eYDKQQCZidHkpsZis8Oe4qrOd5x0M2CAgk9cwbCe6cqS352+Zs/fXAsbHoE/TlRDOG0tMPgyWLwBvv0CpA1Vup7L/xt+dgC+/jikDlY+PJ89CU+Ng7d+7Cq3+ULFCXVuNEbAoI6tNXoz293KQYG+APQWCVi8IToJotSQPl1mWbrRsOT3i1PpTWdZKEQ6Fmur6//PLcMyMCUWowEaW6ycq23u9jB2u90ptr11Vj6RfjKK646vjMxgVHYi9RYrz28qDMp76o2mFitbtOnMAQxYwJVl6dSPBVRpYMjlanvPywFdj1/wRL8Cfceev7UZtq6EP0xUmTJLHWRPhO+9BQvfhgGTL3yNORam3QFLd8KCV9S0cVsL7H0F/jIT/nY9HN/gvUBXM4vLmaHO+X2M7YX6FNyCBCzeo1cdi93uNvgwx+1huytgSVOi1pDrWKpPqgyPKcrRuqkwRxjp72ih80THsunYeQ6V1BJrNvGd6bnd7u8vDAaDs2Po+U0F1Da1BO299cKWE+dpbrWRnRTN8Ew/agc6wGUg143DtCa+3ftq4MSY/qLMw4Clt4tubVb4/DX401RV2mkoh9QhKpvyg42uILQrjCYY9Q24/X24/SMYPR8MRji+Hv52Lay8WL1Hq4fZ0D48nbnFanNOpteb4BYkYOmWC0oTevViaaxUVyXQZlLzubpm6i1WjAacPiekj3Q8GaIMi7vgtl07u1N464GO5a+fqU6dG6fmkBQT3Jk9V47JYkh6HDVNrfxta1H3L+hlfHzY1R0U6LTxNEeGZc/Jyq5dkEdcrXx9as+oLyu9Yre7tTR7kWHR8wwzb7Hb4cj7sPISePOH6nwan6WGhi7ZpvQqvvxe5UyDG1+Cn+xWepbIWCjdr97jDxNg0x+6HuPQ2qzKitAn9Sv7T1fTYLGSHBvJ8Az/+ir5AwlYuuG37xzk0XWHXBNj3Ycg6gltPXHpaoyAg8Jy9cU/ICUGc4Tjx+0MWEKUYXGz5G+P1tpc3I2b7LGyWjYcPochQEZx3WE0Gpwzhv76aQGNFmvQ1xBKNvh5OnNXDEmPJzk2kqYWGwfOdDE3LCIKJtyktvU8ELG2RF1gGExqtEBXaBqWlnpoDsLMtGBQvA2evwpevVFpeaKS4KsPwk/3KOGsPwaGpg6Cqx9VOpev3A/xmSqQ/fABeGI0rPvvji86i7eq/+u4DMgc1/N1hBmafmVafipGo770KyABS5fsPVnFc58V8OeNx/npa3toarG6SkJ6y7B0MaUZHPoVDa0kVH40NKnzigsFtxqetjavdmhH5o7KdM4hCjbfnNCfnNQYztdb+Pt2nf0+BJCC8nqKzjcQaTIwe6h/pjN3hdFoYGqeBzoWgMnfU/dH1kFtadf7hgpNcNtviBo22RXmOJeOItzLQmUH4e83weoroHgLRETD7Lvgrr1wybLA2N/HpsKl98Dd+2D+CnWxZqmDrSuUXuaN78OZPa793duZjX3v61GvhnEafe8n4gUTc5L5/Q3jiTAa+PcXZ7nluW3URjuuePQmuu1EcNumQ0gjcSBEximBWmUIOio68GDR8GRqc0W9hTW7lV7njosDZxTXHREmIz++TGVZnvnkOM2tfSPLorUzT8tPJT7KJ2cEr5nqnCvUTcCSMUoNRbS1wsG1QViZD3gquNUId+FtVTG8eSf8eSYcfldllibfqso2X3tIBRWBJiJKtb7/eCvc/C8YNEfp6Pb/C569DF74Bhxe16fbma02u1Nwq0f9CkjA0i3fnprDS9+fTkJ0BDuLKrnnA8cJU28lIW8yLEYjpGszhUKgY6koVPcdlYT6uVqbO+PVbUU0tdgYOyAx5H9Y108eQFZiNKU1zfxrV9+wT9/g1K8EvhykoWVYdhVVdt/yPmyeui/8NMCr8pHuLPnbE67C2/rzqvTy9BT4/FXADqO+qYKGb/4RkgYEf00GAwybC7euhR9+CuMXqPblwk/h7wscPxuDMiPsYxwuqaW2qbXNSAy9IQGLB8wamsaaO2cxMCWGnVWqI8JeW+K56jwYaK6ZyW27ZTSX2zYZFgid8NZu79CWX0Mr71TUW6jpoPvG0mrjpS1K5BoMo7juiIow8cM5gwH488ZjXYtCewGNFitbtenMAW5ndmfcwCTMEUbK6ywUdifIHnSJui/8TJ9C1e6GHrZHM4+rPRuY9fib5jr4+FElct26Qlnc518Cd/wHFvzNdbEUarLHw/XPwl2fw6yfKH8qgNyLIE5fDq/BYFuB+ruekpdCRJAsIrxFn6vSIcMyE3jzx7MZOCCHRrsZA3Y+3LYr1Mty4WxpdnUI2e12l8vtBQFLiFqbG86DpRYwXBBcgRp41y9Oue925Hj77y/OUFbbTGZiFF8f1z/Qq/WI70zLJS3ezKnKRtbuDbOrYC/ZeuI8llYbA5JjGJoR2HZmd6IiTEwYqLQc3ZaF+k9W3SEN512OsnrB2ur6m+uuQ0jDWRIKgwze4ffgj5Ngw2/V33nWeLhlDdz6fzBwSqhX1zFJA+GK3yiB7g3Pw7eeC/WKQsJ2nc4PckcCFi9IT4jitR/Ootqs5iatfudT/vSfox67sgaUDkpCpTXNNLZYMRkNDExpNyI8VBkWTXCb2L9TwWFuJ63Ndrud5z5Vr184M9/V9RRiYswmbr/YlWWx2nTw+xAgtO6gOQGYztwdmo6lW+FthFmZfoHKsuiJihNgbVYasuR8z14TTm63Gx+B+jKVPf3WX+EHH4fPPJ7oRBh7fZuLvr6C3W7XveAWJGDxmhizicycYQAMNJzjsQ+OcN+/vghtKcDSoAyXoI3oVisH5aTEXOgC694pZAuiWLQDS/72OIW3FW1bm7eeqODLszVERxq5eUbwjOI84ZaLckmKieT4uXrW7S8J9XICgt1uZ+PhwNvxd8Y0p+NtNwZyAPkXq/vCTwK4Ih/QOoQyRnreheLMsOi8JGS3uy5IbnpNzXTqg5024cjxc/Wcr7cQFWFk3ED9uvvKb5MPGBxBwS0jjRgN8I+dp7jt+e1UN4bI8VQrB5kTIDrZ+XDh+XYOt+4k56m2wtYmqAqi8ZnTgyW/011y+2leLG0zLH912PDfMGUgybEhGtrYCQnRkU4/mD9tOKaPrJufOVFeT3FFA2aTkVlDgl/j1yZxnyivp7yum9EN2gyYwk1g05GuyNsOIXAbgKjzklBDhcsrJiUvtGsRvELLrkzKTSYqwhTi1XSOBCy+4AhYJiTU8tytU4k1m9h07Dw3/GUzpyo9nzTsN5yC2xwwGGhutfLSlkKe/PAI0K5DSMNogjSVKQqqjqULDxaN/A5KQgXl9aw/pHw1Fs0OXStzV9w2K584s4mDZ2v4z6GyUC/H72jZlWmDUogLUjuzO8mxZucYAM0+vFP6T1I6lsYKOKcjHYunlvzuaF1CjRXQ0uj/NfkLLXua0L+NeaWgf7Y7BLczBulbbCwBiy8kO64eqor5yshM/vHDmWQmRnG0rI5rV2zmi1NVwV2PQ79iSxrIa9uL+cpjH/PA2wcoq21mQHIM357aSU02FDqWLjxYNPI6aG1+flMBdjt8dWQGQ9KDJ/b0huRYM9+bmQ/A0//pfVkWzX8lFOUgDY91LKZI1e0BUKCj9matQ8hTwS1ATApEOAIAPXcKaRcjHdgVCPrFbrezLQz0KyABi2+0myc0dkASby2ZzcisBMrrmrnxmS18cCB4OgZblSoJrS0w8os1+zhd1UhmYhS/nj+G/9wzhzH9O6lJhqJTyIOTmmbPf6a6keZWK9UNLfxzp/qMt4fQKM4T7rhkENGRRvaerGLTsfOhXo7faLC0su2EOqkF03+lPZqOZYdHOhatvVknAYul3lUSzfDQgwWUYDUchLdOu4L8UK5C8JJTlY2crW4iwmhgkqPsqlckYPEFTdhac9opWM1OiuGfP5rJnOHpNLXY+OHLu1j9WWBdZG02O//+4gzrt+4E4FBjMv3izPy/r4/i43sv53sz87uuRwY7w2JpgDpHINdFSSgt3kys2YTdrv6YXt1eTGOLlZFZCcwMgXbCG9Lio7jJMTn66f8cDfFq/MeW4+exWFU7cygzXNrk5v2nq7uf36QFLEU60bGcOwTY1byveC+DvnAQ3nogqBf0h5ZdGT8wiRizfvUrIAGLbyRkK3dEW6saZKY9HB3JX2+dyndn5GK3w0P//pJfrT3g9zZXu93OBwdKuPqPn7L01T0kWtQaJo8fzyc/v5w7LhlMdKQHv3jOgOVIcE7omrg3OqlLO26DweCcLH28rI4XNxcCcMclg0NuFOcJP7h0MJEmA9sKKrr3DAkTnN1BI4PfzuzOwJQYMhOjaLXZ2Xuyquud+08Ec7waNKh154QSXwS3GuEgvJWSUFii6Vem61y/AhKw+IbR5DqBtLPojzAZ+e21Y1l+lQoGXthcyA9e2kl9c8+HDKq20jLmr9jED/62i0MltSRERTAqpgqAK2ZN804MmTIIjJFqOmnNqR6vr1squtevaGg6lpUfH6ekpom0+CiumZAdwMX5j+ykGG6YonRDz3x8PMSr6Tl2u901nXl46PQroIJZTceyqyjMdCzeWvK7Ew72/F04WAtQ39zKm3tOqSG6OiIc/Fc0JGDxlSSHD0gHQxANBgM/nDOEP988magII+sPlbHg2S2U1jT5/Habj5dzw8ot3Pb8Dr44VU2s2cSSy4fw6b2XkGg551hTTtcHaY8pIridQl6kjDWL/t3FVQAsnJmn63a79iy+ZDAGA3x0sIxjZXWhXk6POH6unlOVjaqdeWjor8Km5fmiY9GBgZy3lvzuaCWhWp0GLC2NrrWJhqVD7vvXF/zs9c+d3Zt6oLSmicLzDRgNMCVf3/oVkIDFdzQdi9ZS3AFXj8vm7z+4iH5xZvafruG6FZs4VFLj1dvsLKzgpme38t1V29hVVElUhJHFlwzik59fzr3zRpLcWq6mjprMEJ/p/edwCm+DoGNxerB0H7BoJSGAqAj9GcV1x+D0eL42Sv08nvv0RIhX0zO07qAZg1OJNQe/nbk9WoZld1Fl9+VWPelYnBmWnpSEdBqwVDrKvVGJwZm+HGYcOFPNv79Q+qO/by/uXn8VJDT9yuj+iSRGR4Z4Nd0jAYuvODuFup7aPDk3hTd/PJvB6XGcqW7ihr9s4ZMj57o9/Benqrh19XZuWLmFLSfOE2kycOvMPD75+eX88uujSYuPavv+iQN8c5UMpvDWAw8WDa0kBGoicj/t84YRP7hU2fWv2X2aslrfs2uhRtOvzBkeuu4gd0ZmJRAfFUFtcyuHS2q73jl7gjJUbKqC0n1BWV+H1J2D+nOAAdJHef96Z5eQTkW37h1CYaAzCzbuWZWaplbWfq4PLZJTv5If+sypJ0jA4ivODEvXAQuo2Thr7pzFjEGp1DW3suiFHfx9e8eZmYNna1j80k6++adNfHzkHCajgZum57Dx3sv5n/ljyUxsN3+ng6GHXhHM1mYPPFg03KdLf1+nRnHdMTU/lcm5yVisNl7aHEQ3YT9S39zqrHFfPjK0+hWNCJORSbnJAOzsVscSAXkz1XYoy0Ka6Dd1EJhju963I7SSUF2JGqCoN7z42+5r7C6u5KODZY5zucoUv7i5SBc+TeEw8NAdCVh8RZs0XNV5SajN7rFm/nb7DK6fNACrzc7yNfv433WHsDlS2sfKalny6m6u+sOnfPhlKUaDyiz857/m8Mj14xmQ3IlzpNPl1seSiTPDcljNAgkUNqsrbexBSWhgSizLrxrJr68dy7DMhMCtK8BoWZa/bS2iwaLDL5pu2OxoZ85JjWFwRyMeQoTW3uzVXKFQCm970iEEqhXaYAK7DepK/bcufyEdQp3y+AfqYvBbkwdw35UjiIow8uXZGnYXe/C7G0Aq6i0cKVX6unAJWEJfkA5X3EtCdrtHaVBzhJHHb5xAbr9YnvroKH/ZeJyi8/VER5h4a+9ptHL8N8Znc/fc4QzN8MDvooMpzV6ROkSdCJtrlIumViv3NzVnwNaiupK0q8Vu+OGcIYFZSxD52ugs8vvFUni+gX/sOMltYZYt2ujWHaSnlnLXIEQP2sadOpbNKnA2hkC8XdYDwS2oNSdkq26+2rOQ5NnfUNCQDqEO2Xy8nE3HVEn/J18ZRnKsmfkT+/OPnad4aUsRU/JCFyho2ZXhmfGkxulrNltnSIbFV7QSTGsjNHjuaGowGLh77nAe//YEIk0G3t1Xwpo9Kli5YnQm7911CX/67mTPghVwlaSSfQxYIszQzxEYBFLH4kwZ54XmCyNEmIwGbr9EZVn+uqmA1lBO9faSNtOZR+pDv6IxMTcZk9HAmeomTld1M18na7wSgzZXQ8kXwVlge0p7ILjV0LMXi5SELsBut/P4B0q7ctP0XHIcjQQLHeM73t13lnO13QzxDCDhVg4CCVh8JyIK4rPUtodlIXe+NWUgL31/BrmpsXxlZAZrl87m2YVTGZWd6N2BepphgeDoWLzwYOlt3DB5IKlxZk5WNLIuiCMbesqxsjpOVzVijjAyc3BaqJfThlhzBGP7q7+V7ucKRUDeLLUdCh2Lzea6GPDGkr89erXnt9m8Kvf2FTYeOefs7Fxy+VDn42MHJDEpN5kWq53XOtEyBoPtheFjGKchAUtP8EJ42xEzh/Tjk59fzurbpjF+YLL3B7DbXaJbXzMsEJxOoT5s2x1jNvG9i9TAzFWfnNCF2M4TtOzKjEGpurTs1tqbPXITDqWOpaoQWhrAFAWpg30/jtOeX2cBS+1ZsDYr9+9EH8X/vQyVXVEXgLfOyr+gWWLhTHU+eHV7cUiyrjVNLXx5RllsTM+XDEvfwMPW5oDRcF6VpMBjXUiHuAtvA4UXHiy9EWV8Z+TzU9VO7wO9s/FI6Kczd8XUPE3H4oWBXPGW4HfZaOWg9BEq2+MrenW71S5GknJ69vl6Ee8fKGH/6RrizCZ+1IEW7+px2fSLM3O2uomPDgZfRL2rqBKbXdlHZCVFd/8CnSABS0/oYYalx2ilqPgsVaLyFa0kVHYwcJ1CfbgkBNAvPspp17/qE/0bydW5tTOHcjpzV2jOnIdLa6lubOl656xxEJWkxOXB1rH0xJLfHU3DUqszLxbpEGqD1ebSrtx+8aAOBa1RESa+M119f7wYAssDbfJ6ONjxuyMBS08IdYalp4JbjX5DwWBU5lr13Zva+UQfLglp3OGw619/qIyjpd0YnoWYzcfKabHayU2NbeOJoycyEqLJ7xeL3U73LaJGk5uOJchloZ5Y8rvjLAnpTHQrf9tt+L/Pz3C0rI7E6Ain4L4jvjsjD6MBtpw4H/TzQTgNPHRHApaeoHmfdGHPH1D8IbgFiIxxZT4CoWNpqICmarXdRzMsoMzwrhit2fUXhHg1XbPR4cZ8+YjQTmfuDk3H4lF786AQzRXqiSW/O+5ut3rSQfXxcq87LVYbT36ksis/nDOEpJjO7e4HJMfwNcf54G9bg5dlabRY+eKUOh9LhqUv0VsyLBBYHYt2QovP8s3lsxfxg0tVPfvNPacp68EwzEBit9vZeMjhv6JT/YqG5sfi2SBEh/C2KIg6lpYmOO+Y2N2TDiFwaViszeoiQC/08XKvO//adYqi8w2kxZu5bVZ+t/trLc7/2nWK2qZuypp+Yk9xJa02O9lJ0QxM6cSQVKdIwNITtEChqQqavBtq6Bf8lWGBwA5BFI8GJ1PyUpiSl4LFauPFLYWhXk6HfHK0nDPVTURFGLlosL5Txprx1ucnq7C0dtNtkTkOopPBUgtnPw/84gDKD6vhpDEpkJDVs2NFRCnHW9BXWUhKQgA0t1r54/qjANx52VDioroXIM8a0o8h6XHUW6y8uSc4P9Ntbv4res6edoRPAcuKFSvIz88nOjqaGTNmsH379k73feGFFzAYDG1u0dEXqpIPHjzIN7/5TZKSkoiLi2PatGkUF4euR90johLUiQhCI7ztqS2/O4HMsIgorw2aXf/LW4upb9aXXX99cyu/fFMNCbxpeq4u25ndGZIeR0psJM2tNvafqe56Z6MR8mar7cJPAr84aGvJ748vBy3LohfhbWMVNDqyW338guTv24o5U91EVmK0x9PlDQaDM8vy0pbgzBfa5tCvzAgz/Qr4ELC8/vrrLFu2jAcffJDdu3czYcIE5s2bR1lZWaevSUxM5OzZs85bUVHbet3x48e5+OKLGTlyJBs3buSLL77g/vvv7zCw0R2hLAv1dPChO0HJsEjAAjB3VCaD0uKobmzhHztDVE7shMc+OMypykYGJMdw77wRoV5OtxgMBn3rWHpqyd8evQlvtXJvXDpEeejO3QtpsLTypw2q9PeTrw4lOtLzQP/6yQOIM5s4VlbHlhOeu6b7QnOrlT3FVUB4OdxqeB2wPPHEEyxevJhFixYxevRoVq5cSWxsLKtXr+70NQaDgaysLOctMzOzzfO//OUvufrqq3n00UeZNGkSQ4YM4Zvf/CYZGfqunwNuwtsgf/E017mubPxREkobru7rz0G9n/9oxAWzDSajgTsuUf8Xf/1MP3b9u4sreWFzIQAPXz/Oo5S2HvBJx1K8FaxB0Az4w5LfHb253crFCKCyI+V1zeSkxvDtKd6djxOiI7lusgpEAz3Vfd+pappbbfSLMzMkXZ/df13hVcBisVjYtWsXc+fOdR3AaGTu3Lls2bKl09fV1dWRl5dHTk4O8+fP58CBA87nbDYb77zzDsOHD2fevHlkZGQwY8YM3nrrrU6P19zcTE1NTZtbyHBmWIJcvtICpOgkiPbSzr8jzHGu4Kvcz2UhEeVdwLcmD6RfnJlTlY28tz/0dv3NrVbue+ML7HZ1xTdnuD69VzpCy7DsKqrsPqWeMUaVcS11cGZv4BendQj1VHCr4ZwnpJOSkHQIUdPUwsqPVXbl7q8OxxzhvdJCKwt9eLCUs9XdzMbqAeGsXwEvA5by8nKsVusFGZLMzExKSjo+6Y4YMYLVq1fz9ttv8/LLL2Oz2Zg1axanTqlyRllZGXV1dfzud7/jyiuv5IMPPuC6667j+uuv5+OPP+7wmI888ghJSUnOW06OHzIMvhIq8zin4NYP+hWNQFj0tza70td9/CrMnehIk/Mk9awO7PpXbDjO0bI60uLN3P91P2UDgsTY/klERRipqLdwory+653b6FgC7MfSUOHSmmSM8s8x9VYSkosRVn9WQFVDC0PS47h2km+O48MzE7hocCpWm51XtwXu4jccBx66E/AuoZkzZ7Jw4UImTpzInDlzWLNmDenp6TzzzDOAyrAAzJ8/n5/97GdMnDiRX/ziF3zjG99g5cqVHR5z+fLlVFdXO28nT4ZQBxAqDYtTcOvHYE0rC/lTeFtZBNjBHA9x+hqgF2q+NzOP6Egj+05Xs/VE6NpUD5XU8JeNxwD41TfHkBImo+Y1zBFGJuQkAx7qWDSb/kAHLGUH1X1Srn+yoKA/e/4+XhKqrLc4PZWWfW0EJqPvWQvtAubv24tpbrX6Y3ltaLXanH8f4Si4BS8DlrS0NEwmE6WlbWcflJaWkpXlWcteZGQkkyZN4tixY85jRkREMHp026u6UaNGddolFBUVRWJiYptbyAh5hsWPAUsgMixayjhlkH+6JHoRqXFmZ7372U+Oh2QNVpud+974gharna+NzuTr47JDso6e4pWORRPeBlrH4i/DOHe0DIteuoT6eEnomU9OUNfcyqjsRK4a27O29a+NziQzMYryOgvrAlAm/vJsDfUWK4nREYzISvD78YOBVwGL2WxmypQprF+/3vmYzWZj/fr1zJw506NjWK1W9u3bR3Z2tvOY06ZN4/Dhtlf1R44cIS8vz5vlhQatJFNXqkyigoUWIPmjQ0jDGbAc8d8xnVdgYfCzDAG3XzwIgwE2HD7HkRDY9T+/qYDPT1WTEB3Bb64dG5Z1bfDS8TZ9FMSkqgnKp3cHblH+suR3RxPdNtdAc4jHO7RaXJ2KfbAkVFbbxAub1fntniuGY+xBdgUg0mTk5hnqPPnSFv+Lb7Vy0LT81B5lgkKJ1yWhZcuWsWrVKl588UUOHjzInXfeSX19PYsWLQJg4cKFLF++3Ln/Qw89xAcffMCJEyfYvXs3t9xyC0VFRdxxxx3Ofe69915ef/11Vq1axbFjx/jTn/7E//3f//HjH//YDx8xwMSmQqTDvVX74w0G2nv5sySU7igJ1Z5xWen3FPFg6ZL8tDiuHKOuzII9FLH4fAOPfaAuFP776lFkJoaBjUAnTM5NwWCAwvMNnKtt7npno9HVLRTIspC/hh66E5UAUY6McqiFt9UnwW5T57/4zO7372X8ecNxmlpsTMxJ5isj/dPR+p3pOUSaDOwqqmT/aT+dgx1sC3P9CvgQsCxYsIDHHnuMBx54gIkTJ7J3717WrVvnFOIWFxdz9qzrD6myspLFixczatQorr76ampqati8eXObEtB1113HypUrefTRRxk3bhzPPfcc//rXv7j44ov98BEDjMEQmplCgRDdRidBgqMLwV9Zlj5e4/aExQ4jubf2Bs+u326384s1X9DUYmPm4H58Z1oIhet+ICkmkhGZKs29q0gHOha73aVh8WeGBdw6hUIsvHUX3IZpZs5XTlc1OsWx91wxwm+ZyYyEaK4cq7Jof/NjlsVms7OjsA8GLABLly6lqKiI5uZmtm3bxowZM5zPbdy4kRdeeMH57yeffNK5b0lJCe+88w6TJk264Jjf//73OXr0KI2Njezdu5f58+f7srTQEGzhbavFVcP2Z4YF/G8g18dr3J4wOTeFafkptFjtPO/wQQk0/9x5is3HzxMdaeSR68eFbSnInak+6Vi2qb8nf1N9UpVtjBFqGro/0Yvwtg9fjPzpP0exWG1cNDiV2UP9K2C9daYqC739+WmqG/yjsTpSVktVQwuxZhNjByT55ZihQGYJ+YNgC29rTgN2iIh2zRbxF/4U3tpsbqLb/J4frxez2DGG/pWtRdQF2K6/tKaJX7+jyhXLvjac/LTwM5DqiGle6VhGQmw/aG2EMwHQsWiGcWnDIcLPXVdO4W2oA5ZCdd/H/rYLy+v5x05VkvdndkVjSl4Ko7ITaWqx8c9d/vlO0fQrU/JSiDSF79d++K5cTwQ7w+IuuPX3lbEzw+KH1ua6EmhtAoPJv91MvZC5ozIZnBZHTVMrr+8I7O/RA2/vp7aplfEDk/j+7N5zdawJb/efqaHB0k3QZzC4dCwFASgL+duS3x1nSSjEAUsf1af9Yf1RrDY7l41Id/7O+RM1X0hlWf62tQibreceTU79SgDWG0wkYPEHwbbnD0RLs4Y/hyBqJ7TkHDBF9vx4vRij0cAdjizL6gDa9b+37yzvHyglwmjgf781nogwvtpqz4DkGPonRWO12dnrmJfSJYHUsfjbkt8dpz1/iEW37pYFfYQjpbW8tVdph/7ra4GbtTV/Yn8SoiMoOt/Ax0fP9ehYdrs97A3jNHrP2SqUBD3D4sehh+3RMizVxWpeUU/ogye0nnD95AGkxZs5XdXIO/v8/2VU1WDh/rfVlf+dlw1hVHYI/YsCxBTHFaRnc4UcAcvJbcqR2Z/425LfHT243drtfbIk9OSHR7Db4coxWYwbGDgtSKw5ghunqu+Vnopvtc45s8llsBiuSMDiDzQNS81psAZWfwC4udz6sUNIIzYV4hwteuU97BSqFNtub3C361/1qf/t+n/zzkHK65oZkh7H0q/4WQiqEzQDuZ2edAqlj1AasNYmOL3Lf4totbj+dgKSYdFBSaiuDFrqwWAMzHlIh+w/Xc17+0swGGDZFcMD/n63XKTKQhsOl1F8vsHn42xzTICemJPs1RRpPSIBiz+IzwJjJNitwXGgDGRJCPynY+mjNe6e8L2LlF3//tM1bDnuv6nZnx49xxu7TmEwwKM3jCcqIrxPXJ0xNU9lWHYXVXZfVguUjuX8UbC1Kr+UQPyNatYDDeX+zwx5ipZdSRzof1GxTnnc4Vk0f0J/hmcG3il2UFoclw5Px26Hl7f5nmXRykEzBod3OQgkYPEPRiMkOdK0wdCxaO/h75ZmDX91CklJyGtS4szOVPCzn/rHSK6+uZXla/YBcOvMfKbkhf+JqzNGZCWQEBVBvcXKoRIPnGADoWNx+q+MCow/SWwqmKLUdqgs+vuYg/Wuogo2HD6HyWjg7rmBz65oaC3O/9h5kqYW3+YL9QbDOA0JWPyFU8cSYPM4m81Nw6LzDEulZFh84faLB2E0wMbD5zjsyZduNzz+wRFOVTYyIDmGe+cFTiioB0xGA5PzND8WLwzkTm7332iNHlryn6xo4MS5OqyddYcYDG7C2xCVhfpY9vSx91WJ79tTBgbVBuCyERkMTImhqqGFtZ97/7M+VdnA6apG9XeRmxKAFQYXCVj8RbLjSiPQwtv6MrBaVO1Yq2X7G39kWJpqoMFR0hANi1fk9YvjSscgtVU9zLLsLq7kece8k4evH0dcVESP16d3tCtJjwKWtGHKVt7aDKd3+mcBPbDkP1ZWx+WPbeQrj3/M2Aff59oVm1i+Zh9/21LIzsIKl0ePU3gbooClD2VPNx0rZ8uJ85hNRn7y1WFBfW+T0eDUsry0pdBrXZv2NzB2QFKv+NuXgMVfOM3jApxh0QKihP6BaxXWApbKQmhp9O0YWnYlNk3NPxG8QjOSe3vvaUqqfbvyb261ct8bX2C3qw6kOcP9bDKoU7SAZXtBRfcneHcdS+Fn/lmA1tLsQ4Zlw6EyWh2ZlcYWK3tPVvH37cXc//YBbli5hbEPvs+lj25g23k19+nw0cOcrGjwu0C7W/qIoN5utzvnbX13Ri4DkmOCvoYFU3OIilC6tj0nq7x67bYTDv1KLygHgQQs/iNYrc2BmNLcnrg0Nc0WO5Qf9e0YYsnfIyblpjA9P5UWq50XfLTr//OG4xwtqyMt3sz9Xw9At4pOGT8wCXOEkfI6CyfK67t/gT+Ft001rouWjFFev3xbgcpK3nflSD5aNoenb5rEjy8bwuUj0slyDKcsrmhgT5X64vxs9z4ueXQD43/1Ad9euZkH3t7P37cXs/dkFY0W3zQPHtFHSkL/OVTGnuIqoiON/PjyISFZQ0qcmWsmqGy6ty3OTsFtLwlYwj9HpBeCZc8faMEtqKvO9JFQvFnpWLLHe38M52C03n1CCyQ/uHQw2wsreGVbEUu/MpR4L1K6h0pq+PPGYwD86ptjSInrG50cAFERJiblJLOtoILtBRUMSY/v+gX5l6r7UzuUjiWyB1OrNcFtQrYSx3qB1eYy+Jo1pB9DM+IZmhHv/LICqKi3cOhsDYbte+DIvxkeU0Nkg4Ha5lZ2FFa28Z8xGtQ08FHZiYzOTmRUdgKjshPJSozumZ18c50qTUOv/vu22ew8/oHSrtw6K5+MhNBNM184M483dp3inS/O8suvjyItPqrb15TVNnGivB6DwdU9F+5IwOIvtAxL9SllqhSoYXKBbmnWSB/hCFh81LH0kZRxIPnKyAwGp8dx4lw9r20vdjrhdofVZue+f+2jxWrna6Mz+fq47ACvVH/MGJTqDFhumt6NT0i/IcqaoK4ETm2HQZf6/sY9sOQ/VFJDTVMr8VERjOnfsalfapyZWUPTwDIOjsAlmRa+XHQlx8/VcfBsDQfP1jrua1SG6Vw9J87V884Xrm6ipJhI0uLNJMVEXnBLbPfv5FjXftGRRhXoVDmu8mNSICbZ688ZLry3v4Qvz9YQHxXBjy4NTXZFY/zAZCbkJPP5ySpe33GSJZd376O0o0AFryOzEkmK7R1O4xKw+IvEAYBBmVDVn4P4jMC8TzAyLNBz4W0fSRkHEqPRwOJLBrN8zT5Wf1bArbPyPRpc9vymAj4/WUVCVAS/nj+2V0xi9pbpg/oBx5wZiy4xGNT05n3/VDqWngQsPbDk1/QGU/JSuh+Z4BTdniXSZGRkViIjsxK5bpJrl7LapjYBzMGzNRw/V091YwvVjd5PATabjCTGRHJ1xE4eAgqs6fzhtT0XBDt5/eLCvoXWarPzxIdKu3L7xYN0kaG8dWYey05W8crWIn546eBuf0e2O8qLvaUcBBKw+I8Is0oD155RWZBABSzODEuA3SV72trch7oIAsl1kwbw+AeHOVPdxLv7zjJ/4oAu9y8+3+AUCf7310eRlRS6NHYomZyXTITRwOmqRk5VNjAwJbbrF+RfrAKWgk/h8h68cQ8s+TX9ikcGX1qHYO1ZsFnBeKERYEZCNBkJ0W3E1k0tVgrP11NRb6HGEbi0vbU6t92ft9rsWKw2yuuaMZuKIRL2N6by1t6Ou5RW3jLF2ekWjry15zTHz9WTFBPJ7Zfo4xx29bhsfvPOQc5UN/HRwbJu/397k/+KhgQs/iQ5RwUs1cUwcEpg3iPYGZaKE8pNM6L7mqkTa4vLK0YyLD0iOtLErTPzefzDIzzz8Qm+OaF/pxkTu93O8je/oKnFxszB/fjOtL47ITvWHMHYAUnsPVnF9oIKDwIWhx/L6Z1gaQBzN/t3hN3u8mDxMsNic9OvzBjUr/sXxGUoawO7VWV0EzwLDqIjTYzM8m6GlN1up95iVcFLQwspG9+FIzBk+Dj+O29km2CnoLyO/adrePT9Q8wdlRGWwzVbrDaeWq+0Kz+aM4TEaH2UU6IjTSyYlsNfNh7nb1sLuwxYqhosTuPE3hSwhN9vk54JtHlcYxU01zjeK4BdQqBOgFFJ6oR4/rh3r60qVq+LiFEeF0KPuOWiPGIiTXx5tobNXdj1/3PnKTYdO09UhJFHrh/XJ0tB7mipcK3U0iWpg5VVgNWixLe+UHsWmqrAYII07wz6jpbVUdnQQkykiXEDPBiqZ4pQuhsI+BBEg8FAfFQEA5JjGN0/kWyr0sOMHjOeH1w6hHvnjeQ3147j6Zsm8ffFF5ESG8mJc/Ws2R3C4Yw94B87T3KyopG0+ChunaUvJ9+bZ+RiNMCmY+c5Vta5qaQmvh6SHueRQDdckIDFn2hDwALV2qxlLWJSwRxgt0WDwa0s5KWOxV1w28e/NP2BsutXAeozn3RsJFdW08Sv31HliP+6YnhQ3Tj1itOPxRMDuTZ+LD62N2v6lX5DvO400vQGk/OSMUd4eFoO1RDEys47ABOiI52C0Cc/OuKznXyoaGqx8vR61V235PIhxJr1VYQYmBLLV0epi8CuWpy136fpnmTrwggJWPxJoFubg1UO0vBVxyIeLH7n9osHYzTAJ0fOcfBszQXPP/D2AWqbWhk/MInvz5b/d4Cp+akYDFBQXk9ZjQfme4O0uUI+GsiV+W4Yt9WbcpCG054/iPOEbFZXBrmTv+9bLsojOymas9VNvLzV96F9oeCVbcWU1DSRnRTdfXdZiFjomC/0r92nXc7H7eht/isaErD4k6QAZ1iC1dKs4WunUIW0NPub3H6xXDVWfUG1t+t/b99Z1h0oIcJo4H+/NT4sdQOBICkmklEOvYZHWRYtw3LKoWPxFh8t+e12u2+OpM5OoSCWXqpPqUnUJkeTQQdER5q4e66ysF+x4Ri1Td53JIWC+uZW/uLwLvrpV4cRHanPieazh6QxOD2OuuZW3txz4c++rrmV/WfURU1v0q+ABCz+JeAZFseVTXKQIn9nwOJjhkU6hPzKDy5VPixr957hbLUamVDVYOH+t5XQ887LhjAq2ztBZW/H3aa/W1IGQeJAsLXAyW3ev5mPQw9PlNer7psIIxNykj1/YUIIBiBq5aDkvA47kzS+NXkgg9PjqGxo4blPC4K0uJ6xYsMxyuss5KbGcsOUAGsEe4DRaOB7jvlCf+tgvtCuokqsNjsDU2LoH4JRAoFEAhZ/oglhm2uUQNbfBD3D4igJnT+mOn88RTxYAsKEnGSmD0ql1WbnhU2FAPz2nYOU1zUzJD2OpV/p3kyqrzHDm4ClJzoWa6srsPfSkl/LrkzKSfbuql7LsNQGsSTkYbk3wmTknivU+eO5T09wvq45wAvrGcfK6pyZy19+fZRHfkeh5FtTBhJrNnGktI6t7UTlLv+V3qVfAQlY/Is5DmIdvySByLIEW8OSNBDM8eqKs8LDqyS7XTIsAeSHjizLq9uKWbf/LP/cdQqDAf73W+OJitBnCjuUTHMELIdKaqlqsHT/Al91LBUn1MTnyFivf+9d/itefsE4RbdBLAl5Ue69amwW4wYkUW+xsmKDl52GQcRut/Pg2v20WO1cPiKdK0brv7MxMTqSayepgPVvWwvbPNdb9SsgAYv/CeQQRK1LKNAtzRoGA6QNV9ue6ljqz0FLPWAIXmDVh7h8RAZD0uOobW5lyat7ALh1Zj5T83vfyckfpMVHMSRddUy5z9npFC3DcnqXmpnjKZolf/pIMHp+WnXXr1zk7ReMu+g2WNOau+gQao/BYODnV6osy8tbizhV6YMuKAj83xdnnXYA//PN8HGG1sS37x8odU50b2qx8vnJaqD36VdAAhb/EygdS0sT1JWq7UC73LrjrY5FuwJLGuid2ZzgEUajwallsdrsDEiO4d553nl+9DW01k4tVd4lyXnqosPW6p2OxUdL/uKKBkpqmog0GZiUm+LVa0lwZFhaG6HRg2DMH3hZ7r14aBqzhvTDYrXx1Ec+Tn4PILVNLfzm3+pn9+PLhpLbzwfDwBAxMiuR6YNSsdrsvLpNdWPtPVmFxWojIyGKvDD6LJ4iAYu/cXYK+dk8Tkv7RsZ6PQW2R3jrxSJDDwPO/IkDyEpUPh+/vW4scV5Mce6LeK9j8aEs5KMlv5ZdGT8wmRizlyW9yGhXCToYwlsfyr0Gg8EZUK/ZfYqjpZ2bnYWCJz88SlltM/n9YvnhHM+Gi+oJLcvy6vaTWFptzt+n6YNSwyZT5A0SsPib5AC53WrHS8oJrhmbtxkW8WAJONGRJv7xw5ms+fEsLhsRoJlVvQgtNb7/TE2nvhVt8EV466Ml/7ae6g0S3GYKBZrGSpfTdornDrCTclOYNyYTmx3nnCs9cPBsDS9uKQTgf+aP1W0bc1fMG5NFRkIU5XXNrDtQwvZCH/VQYYIELP5Gazn2d0ko2IJbDS3DUn5EmUZ1h3iwBIXcfrFM9raE0EfpnxzDwJQYrDY7u4u80bHs9kzHYql3BereZlh8FdxqBFN4q/1tJ2RDpHftsvdcMQKjQekt9p6s8v/avMRms/P/3tqP1WbnqrFZbQZEhhORJiPfnaG+c1Z/VsDuoiqgdwpuQQIW/xMo0W2wW5o1knPVTCBrs+uk3BVeiPIEIVh458eSp37v7VYo3tr9/mWHADvEpUO85198apJ0IyajgSl5PgafwXS77cHf9rDMBK6frJoFHl3npRFlAHhj9yl2FVUSazZx/ze8dybWE9+dnkuE0cDek1U0tlhJiY1kaHp8qJcVECRg8TdaBqSh3De3zM7QMizB6hDSMJogTblWelQWEg8WQYd4pWMByL9U3XtSFirzzTBu2wmVXRk7IIl4X3VIwXS77aE+7e65wzCbjGw+fp7Pjpb7b11eUtVg4XfvqaDprq8OC3tztYzE6DaTm6flp2I09j79CkjA4n+ik8GcoLa1NmR/oB0rWC637nhq0W+ph/oytS0ZFkFHaJ1Ce09WeTaQzxsdS9lBde+lJb/P7czuBHMAYkWhuvfxYmRgSiw3X6TOX4++f+gCh9Zg8ej7h6motzAsI57vX9w7zlMLZ+Y7t3tjO7OGBCz+xuDmP1LtR+Gtu+g22Hg6BFErGUUnQ0xyABckCN6R3y+W9IQoLFYbn3uiodACljN7oenCYZNtcFrye+lw69Sv9OALRrPnD4bo1g+GkEsuH0qc2cQXp6pZt7/EP+vygs9PVvH37epc+utrx+re0dZTpuWnMDk3GbPJyOUje68Qv3f8tPSGv3UsNqsr5RsKMzZPMyxSDhJ0isFg8E7HkpyjSh92a/d+LD60NJfWNFF4vgGjgZ6Z/oVRSQiUkd/tl6j24d9/cJhWq80PC/MMq0Noa7fDdZMGcFEv6qQxGAy8+P3p/OeeOQzppfoVkIAlMPjbPK62RBlZGSM6nZAaULSApfwI2Lo4wYjgVtAxTh2LJ5ObwZVlKfik833qzil3ZwyQMdLjtWx16FdG908kMTrS49ddgCa6bapWJdlA0dLkKjv18IJk8SWDSImN5MS5etbsDt5YgVe3FbHvdDUJ0REsv9rzn1W4kBAdycCU3mcW545PAcuKFSvIz88nOjqaGTNmsH379k73feGFFzAYDG1u0dHRne7/ox/9CIPBwFNPPeXL0vSBvzMsWuCT2L/LCakBIyVfjZNvaeg6CBMPFkHHaBmWXUWVtHhyZe8U3nZhIKcJblPy1SwxD9GyPNPze3iVH5Wo5n1BYDuFqooBu9LnxfZszQnRkSy5XA3qfPKjI55pinrIudpmHn1flbTvuWIEGQmdfwcJ+sXrgOX1119n2bJlPPjgg+zevZsJEyYwb948ysrKOn1NYmIiZ8+edd6Kioo63O/NN99k69at9O/f39tl6Qt/m8c5W5pDILgFMEVAPw86hcSDRdAxwzMSSIqJpMFi5cCZbnQp4MqwnN2rMhgd4bTk99Z/xWEY1xP9CijNXDC8WNzLQX4wrrzlojyyk6I5W93Ey1s7/j7wJ4+8d5DaplbG9E/klos8N70T9IXXAcsTTzzB4sWLWbRoEaNHj2blypXExsayevXqTl9jMBjIyspy3jIzL5yGefr0aX7yk5/wyiuvEBnZgxSpHkjys3lcqFqa3fHEol9KQoKOMRoNTMvXdCwezBVKGgCpg8Fu69yPxYeW5vK6Zo6VKUO66f4YWhkM4a1Tn5bvl8NFR5q4e666CFqx4Ri1TS1+OW5HbC+oYM3u0xgM8Jtrx2LqpS2/fQGvAhaLxcKuXbuYO3eu6wBGI3PnzmXLli2dvq6uro68vDxycnKYP38+Bw4caPO8zWbje9/7Hvfeey9jxnR/pdLc3ExNTU2bm67QWo9rz4LVD3+IoXK5dac7i35rqyujJCUhQad478fSjY7Fh6GH2nuPzEogJc7s8es6JRjC2wBcjHxr8kAGp8dR2dDCqk8L/HZcd1qsNu5/az8A35mW4/2ASUFXeBWwlJeXY7VaL8iQZGZmUlLScYvaiBEjWL16NW+//TYvv/wyNpuNWbNmceqUy6Pkf//3f4mIiOCnP/2pR+t45JFHSEpKct5yckL4Rd4RcelgilJXZv44iYTK5dad7jIsNaeVMNhkds03EQSd4d4pZLN54APSlY7FZnP9PXjRIaQZxvnNPj0YXiwB0KdFmIzcc4U6r/z10xOU1zX77dgaL2wq5HBpLSmxkfx8Xu8T2vY1At4lNHPmTBYuXMjEiROZM2cOa9asIT09nWeeeQaAXbt28Yc//MEpzvWE5cuXU11d7bydPOlnG/yeYjS6yjf+EN7qLcPSkeGTdgWWnKc+vyDokDH9E4k1m6hpauWwJ5OD82er+5IvoLGq7XOVBUqIbopSpSMPcelX/NRWGwx7/gDp064am8W4AUnUW6ys2HDMr8c+W93IUx8dAeAXV430TzZLCClefbOkpaVhMpkoLS1t83hpaSlZWVmdvKotkZGRTJo0iWPH1C/np59+SllZGbm5uURERBAREUFRURH/9V//RX5+fofHiIqKIjExsc1Nd/irtdluD73oFtQJ2RgBltqOr+TEg0UIAyJMRufcHo/KQon9IXWIQ8fSruyt+a+kj1DCdA+orLdwqEQFSn5zJA10Schm84tpXEcYDAbuu1JdDL2ytZhTlf4bZ/Kbfx+k3mJlcm4y356isyy84BNeBSxms5kpU6awfv1652M2m43169czc+ZMj45htVrZt28f2dnqquB73/seX3zxBXv37nXe+vfvz7333sv777/vzfL0hb9amxsrocXhr5A0oGfH6gkRZnXiho7LQiK4FcIEr3Usgy5R9+3LQj50CGkeMEMz4kmLj/L4dV0SaNFtXYkafmowBaQsffGwNGYN6YfFauOpj4765ZifHDnHO/vOYjQoR9veOlunr+F17n7ZsmWsWrWKF198kYMHD3LnnXdSX1/PokWLAFi4cCHLly937v/QQw/xwQcfcOLECXbv3s0tt9xCUVERd9xxBwD9+vVj7NixbW6RkZFkZWUxYsQIP33MEKAJb3tqz68JWePSvR7p7nfSh6v7joS34sEihAnaXKFtBRWezbPJdwQs7YW3Zd5b8mvzg/ymXwFXhqWuDFot/juuhpY9Tc7xOJPkLT93ZFnW7D7FUU9KdV3Q3GrlwbXqZ7NwZj5j+if1eH2CPvA6YFmwYAGPPfYYDzzwABMnTmTv3r2sW7fOKcQtLi7m7FlXpF9ZWcnixYsZNWoUV199NTU1NWzevJnRo8N7pHe3+CvDog09DKXgVqMri37xYBHChPEDkzBHGCmva6ag3AN3WK1TqGSfynhqaEMPvRDcbi9Uglu/DqiL7afE7thVNsTfBCF7OjEnmXljMrHZ4bEPPJgK3wXPfnyCgvJ60hOiWHbFcD+tUNADPoXLS5cuZenSpR0+t3Hjxjb/fvLJJ3nyySe9On5hYaEvy9IX/jKP04PgVqOz1ma7PWA1bkHwN9GRJibmJLO9oILtBRUM7m72SkKWMk48fxSKNsPIryur+vPH1fMetjTXNLXwpcOwzq9zbIxGtcaqYiW89fdE9yBlT++5YgQfflnK+wdK2Xuyiok5yV4f42RFA39yiHf/39dH9WzsgaA7pJ0jUGgZkZrTXc/f6Q49tDRruLc2u6fSGyqg2eGFkyIukoL+6bGOpfywGowYnezxfK+dhRXY7GpydGain63hAym8DVL2dFhmAtdPVt2Vj67rZtBqJ/xq7QGaW23MHNyPb04Qe4XehgQsgSJxgBKpWS1QV9r9/p2haWD8fdXkC/2GgsEITVWqXq6hXYEl9A+9zkYQPEAryWzz2kDuU3XvLrj10I7BpV8JwJTgQHqxBFFQf/fcYZhNRjYfP89nR8u9eu2HX5ay/lAZkSYDv752jMc2GUL4IAFLoDBFuE4iPWlt1lOGJTLGdZXlrmPxw9h5QQgmk3NTMBkNnK5q9KyVVhPelu5XGUUfLPm3+mt+UEcEslMoiIL6gSmxzlk/j75/yDNRNNBosfIrh9D29osHMzQjIWBrFEKHBCyBJMkPOhY9aVigYx2LeLAIYUZcVARjB6jukR2FHmRZ4jMgbQRgVzoWLy3565pb2X9aDVD0m2GcO4EqCTXVQINj7lKQLkiWXD6EOLOJL05Vs26/ZyLiP204yumqRvonRfPTrw4N8AqFUCEBSyDpqXmcpd51sgjl4EN3OrLoF8GtEIb4PFeo8FOXaZyHHUK7iiqx2uwMTIlhQHIAyqaBcrvVsqexaRAVnKxFv/go7rhEOQf//oPDtFq71gAeP1fHs5+cAOCBa8YQaw5M67UQeiRgCSQ9bW2udlwtmROUuE8PdJRhkZKQEIZok5I91rFowttD77hKLx56sLjmBwUguwJuGRY/a1hClD2945JBpMRGcuJcPWt2d541stvtPPD2flqsdi4fkc68MZmd7iuEPxKwBJKeZlicgtscj4V9AaejDIuUhIQwZFp+KgYDnDhXz7laDwbv5TkyLNVuozKiPRsLomVx/GoY546ml6s907OuxPaEKHuaEB3JkstVaefJj47Q1GLtcL9/f3GWTcfOY44w8qtvitC2tyMBSyDpaYZFT4JbjTSHEVNDOdSfh5ZGdZIEKQkJYUVSbCQjMlWZwzMdSzqku2VUPNSvNFqsfH6qCgiQ4BYgPhMwqInpDd5113RJCLOnt1yUR/+kaM5WN/Hy1qILnq9tauHX/1aluR9fNoS8fnHBXqIQZCRgCSRaK3JVcccTjrtDb4JbAHOc63OVH3YJiqMSITZAJ2NBCBA+61jA43LQnuJKWqx2shKjyU2N9XaJnmGKdAQt+Fd4G8LsaXSkibvnqgukFRuOUdvU0ub5pz46SlltM3n9YvnRnCFBX58QfCRgCSSaULalvq2lt6foMcMCbS36naZSefopWwmCh7jPFfIITccCHgtu3duZA1qycHqx+FF4G2JB/fWTBzAkPY7KhhZWfVrgfPzg2Rpe2KzW9j/fHEN0pCkk6xOCiwQsgSQyRg0tBN9am521cp10CGk4dSyHZUqzENZMG5QCwKGSGqobWrrZG8ib7dr2sCQUcMGthjNg8VOGxdrimmUWIkF9hMnIPVeo881fPz1BeV0zNpud+9/aj9Vm56qxWVw2IiMkaxOCjwQsgcY5tdkHHYt2stCDy607HWVYRHArhCEZCdEMTovDboedRR5kWeLSYO6v4KIlHpnGNbVY2XOyCgigfkXD3263VcVq/EBEjJpVFCKuHJvF+IFJ1FusrNhwjH/tPsXOokpizSbu/0YvH6IrtEEClkDjq/DW2uo68ei2JHQ45CljQegp073VsVz8M7jyYY9KoJ+frMLSaiMtPorBaQEWhfrb7db5t50f0nKvwWDg5/PUOeeVrcU8/K6akv3Trw6jfyA8bQTdIgFLoPG1tbn2jLq6MZldYjq9oHUK1Z6Fs5+rbfFgEcIUr+cKecG2YOlXwP9utzryV7p4WBqzh/bDYrVR2dDCsIx4vj9bLpL6GhKwBJokt04hb9AyMokD1Ph4PRGd6Do51jmss6UkJIQpWsCy/3Q19c2tfj32tgKlX7koUP4r7vi7JKSzcu+9jiwLwEPzx2KO0Nl5UQg44mEcaHzNsOixpdmd9BGuKzljBCTqTBgsCB4yMCWWAckxnK5qZE9xFRcPS/PLcS2tNnYVqe7A6YEW3ELbLiG7vedlHJ2VeyfmJPOH70wEYOaQIPx/CrpDQtRA46uGpcrNTVOPpLuudkjOVdOpBSFMcelYzvvtmPtOV9PUYiMlNpJhGfF+O26naBqWlnpoqu758dw1LDph/sQBzJ84INTLEEKEBCyBRsuQNFZAc53nr9Ns+fXW0qyhtTaDrk5oguALgdCxaOWg6YNSMRqDIFo1x7pmjvVUeGu3664kJAgSsASa6CSIUmPsvSoLOVua9VoScsuw6CRlLAi+ogUse05W0dza8dwab9l2QpsfFMTyhb+Et/XlKlODQX+2CkKfRQKWYJDsQ1lIry63GlqnEMgVmBD2DE6LIy3ejKXVxhenel5OabXa2Fno6hAKGv4S3modQokDICKqZ8cSBD8hAUsw0IKOag87hex2/WdYYlNd7daSYRHCHIPB4L0fSxccOFNDvcVKYnQEI7M8m+jsFxIdOpae2vNLOUjQIRKwBAPnEEQPMyz15dDaCBj03X1z0Z0wcFrb+SqCEKZMz/efjsVdv2IKhn5Fw18lIR15sAiChrR2BANvW5u1TExCFkSYA7Mmf3Dxz9RNEHoBWuvxrsIKWq02Iky+X8+FRL8CrpJQT0W3WoeQZFgEHSEZlmDgbWuz3vUrgtALGZGVQGJ0BPUWK1+erfH5OFabne2h0K8AJPhJw1IhGRZBf0jAEgy8zrDodEqzIPRiTEYD0/J7rmM5VFJDbVMr8VERjM4Oon4F/DexWaawCzpEApZgoJm/1ZZAq6X7/fUuuBWEXoo//Fi0ctCUvJQelZV8QhPdNlZCS6Nvx7A0QF2p2paSkKAjJGAJBnFpakQ7dqg51f3+UhIShJCgBSw7Ciuw2ew+HUMT3Aa9HATKOC4yVm37WhbS9CvRSRCT4o9VCYJfkIAlGBgMrvKOJ0MQNdGtGDYJQlAZOyCJmEgTVQ0tHC3zwpnagc1md5aTgi64BXWu6akXi5SDBJ0iAUuw8MY8TjIsghASIk1GpuSprIIvc4WOltVR2dBCTKSJ8QOT/L08z9BmCvnaKSQdQoJOkYAlWCR5KLxtroWmKsdrRHQrCMGmJzoWrRw0JS+FyGDrVzR66sUiHUKCTpGAJVh4mmHRno9OguggdxgIgtDG8dZu907H4vJfCYF+RcNZEvI1wyIlIUGfSMASLJLz1H13GRatQyhJ9CuCEAom5iRjNhkpq22m6HyDx6+z2+1ugtsQ6Fc0etraLCUhQadIwBIsnOZx3YhunYJb0a8IQiiIjjQxMScZ8M6P5UR5PeV1FswRxtDpV6BnolubFSqL1LaUhASdIQFLsNACkJrT6qTQGSK4FYSQ44uORSsHTcpJJjrSFJB1eURPRLc1p8HWAsZIlxZGEHSCTwHLihUryM/PJzo6mhkzZrB9+/ZO933hhRcwGAxtbtHR0c7nW1pauO+++xg3bhxxcXH079+fhQsXcuZMD62l9UZCNhgjwNaqDOQ6QysZSYZFEEKGU8dS6HmnkC7KQeAKNOpKwdrq3Wudgts8MIYw6BKEDvA6YHn99ddZtmwZDz74ILt372bChAnMmzePsrKyTl+TmJjI2bNnnbeioiLncw0NDezevZv777+f3bt3s2bNGg4fPsw3v/lN3z6RXjGaXKnarnQskmERhJAzOS8Fk9HAyYpGzlR17xhrt9udGZaLQim4BYhLVxdHdpvLsdZTNP2KCG4FHeJ1wPLEE0+wePFiFi1axOjRo1m5ciWxsbGsXr2609cYDAaysrKct8zMTOdzSUlJfPjhh9x4442MGDGCiy66iD/96U/s2rWL4mIPTNbCCU1I25WORTIsghBy4qMiGNtfdentKOy+LFRc0UBJTRORJgOTckPsDms0uspC3upYKqWlWdAvXgUsFouFXbt2MXfuXNcBjEbmzp3Lli1bOn1dXV0deXl55OTkMH/+fA4cONDl+1RXV2MwGEhOTu7w+ebmZmpqatrcwoLkboS3rRZXuUgyLIIQUrzRsWjZlQkDk4kx66CU4munkFYSkg4hQYd4FbCUl5djtVrbZEgAMjMzKSnpWJcxYsQIVq9ezdtvv83LL7+MzWZj1qxZnDrV8UydpqYm7rvvPm666SYSEzv2IXnkkUdISkpy3nJywuTLvTvzuJrTgB0iolVaVxCEkDHdYa3vSafQ1lDOD+oIX4W3UhISdEzAu4RmzpzJwoULmThxInPmzGHNmjWkp6fzzDPPXLBvS0sLN954I3a7nb/85S+dHnP58uVUV1c7bydPemB3rwe6M4/TApmkgWomiCAIIWNavirtHCuro7yuuct9XYZxIRbcavjqdislIUHHeBWwpKWlYTKZKC1tK+QqLS0lKyvLo2NERkYyadIkjh071uZxLVgpKiriww8/7DS7AhAVFUViYmKbW1igDTPsLMMigltB0A3JsWZGZiUAsKOLLMupygZOVzViMhqcc4hCji9eLA0V0FSttiVgEXSIVwGL2WxmypQprF+/3vmYzWZj/fr1zJw506NjWK1W9u3bR3Z2tvMxLVg5evQoH330Ef366eQqxd8kuWVYOrL8FsGtIOgKT3QsWslo7IAk4qIigrKubknURLdelIS0clB8Fphj/b4kQegpXpeEli1bxqpVq3jxxRc5ePAgd955J/X19SxatAiAhQsXsnz5cuf+Dz30EB988AEnTpxg9+7d3HLLLRQVFXHHHXcAKli54YYb2LlzJ6+88gpWq5WSkhJKSkqwWCx++pg6QRtm2NoIDR34OzgzLGLLLwh6wH2uUGfopp3ZHV9KQlIOEnSO15cDCxYs4Ny5czzwwAOUlJQwceJE1q1b5xTiFhcXYzS64qDKykoWL15MSUkJKSkpTJkyhc2bNzN69GgATp8+zdq1awGYOHFim/fasGEDl112mY8fTYdERKmrl7oS1SkUl9b2ec2WX6Y0C4IumJ6vgpCDJTVUN7aQFBN5wT7b9Ca4BVdJqPasyuZ6oomTDiFB5/iUv1y6dClLly7t8LmNGze2+feTTz7Jk08+2emx8vPzvZ6IGtYk56iApfokDJjc9jlt8KGUhARBF2QkRjMoLY6C8np2FVXwlZFtOyRLa5ooPN+A0QBT83UUsMQ7NIVWi8rmtr846gjpEBJ0jswSCjZJnXQK2Wxuk5olYBEEvaBlWTrSsWw9obIro/snkhh9YfYlZESYIS5DbXtaFnIGLPmBWJEg9BgJWIJNZ+Zx9WXqashgdKVzBUEIOV3pWLQgRjftzO54K7yVkpCgcyRgCTadmcdpGZeE/mDS0ZWaIPRxtIBl36lqGixthwluc2RYZuhJcKvhjfC2tdm1n5SEBJ0iAUuw0bxY2peENMGt6FcEQVcMTImhf1I0rTY7e4qrnI+fq23m+Ll6wBXU6Ap34W13VBUDdjDHe6Z3EYQQIAFLsHFmWNqVhMQ0ThB0icFg6NCPRRuKODIrgeRYc0jW1iXeDECscGtpFpdtQadIwBJstAxKUzU0uQ1tdLflFwRBV7jmCrn8k3RdDgLvSkLiwSKEARKwBJuoBIhx2He761ikpVkQdIuWYdlTXEVzqxVwE9wO1qHgFtzs+T0oCWkdQiK4FXSMBCyhoKPWZnG5FQTdMiQ9jn5xZppbbew7VU1lvYVDJbWATvUr4N08oQrJsAj6RwKWUNDREESZIyQIuqW9jmW7Q78yNCOetPioUC6tczQNi6W2bfm5I5wlIcmwCPpFApZQkNTOi6WxCpodJxTRsAiCLnH3Y9HmB+lWvwIQFQ9RSWq7q04hu11KQkJYIAFLKGhvHqdlV2L7gTkuNGsSBKFLtIBlV1Elm4+XAzrWr2g4y0JdCG9rS6C1CQwm6VIUdI0ELKGgvXlclXQICYLeGZmVSEJ0BHXNrU79iq4mNHeEJ8JbrRyUNFBMKwVdIwFLKEhuJ7qtFg8WQdA7JqOBaW4DDgelxZGRGB3CFXlAogdeLFIOEsIEn6Y1Cz1E6wSqL4OWJjfBrXQICYKemT4olf8cKlPbeprO3BmeeLGEUYeQ1WqlpaUl1MsQvCQyMhKTydTj40jAEgpiUyEyFloalP+KuNwKQljg3sI8Y3A4BCwe2POHQYeQ3W6npKSEqqqqUC9F8JHk5GSysrIw9MBJWQKWUGAwqGzKuUPKol9amgUhLBg3IImU2Ejqm63MHKJzwS2oYargWYZFxyUhLVjJyMggNja2R196QnCx2+00NDRQVqYyk9nZ2T4fSwKWUJGUowKWqpOSYRGEMCHSZOS1H8yk3tJKdlJMqJfTPR6JbgvVvU4zLFar1Rms9OsXBkGicAExMepvpaysjIyMDJ/LQxKwhAotm3L+qNKygGhYBCEMGJGVEOoleI4WsDSUK71cZDuRcHOteg50q2HRNCuxsbEhXonQE7SfX0tLi88Bi3QJhQotm1K8Vd1HxrpmDAmCIPiDmBSIcAQpHelYtHJQbD+ITgzeunxAykDhjT9+fhKwhAotm3Jmj7pPypGx7oIg+BeDoWvhrc7LQYLgjgQsoULLsNha1b0IbgVBCAQJXQxBrAyflua+Tn5+Pk899VTIjxFKRMMSKtoHKCK4FQQhEHRlzx8GHULhymWXXcbEiRP9FiDs2LGDuLi+PbpFApZQEZ8FxkiwOUyQJMMiCEIgcLrdSklIb9jtdqxWKxER3X8Vp6enB2FF+kZKQqHCaISkAa5/J0mHkCAIAaArt1spCQWE2267jY8//pg//OEPGAwGDAYDhYWFbNy4EYPBwHvvvceUKVOIioris88+4/jx48yfP5/MzEzi4+OZNm0aH330UZtjti/nGAwGnnvuOa677jpiY2MZNmwYa9eu9WqdxcXFzJ8/n/j4eBITE7nxxhspLS11Pv/5559z+eWXk5CQQGJiIlOmTGHnzp0AFBUVcc0115CSkkJcXBxjxozh3Xff9f0/zQMkwxJKknNdVzgy+FAQhEDQmejW2uLygAqzkpDdbqexxRr0942JNHnU7fKHP/yBI0eOMHbsWB566CFAZUgKCwsB+MUvfsFjjz3G4MGDSUlJ4eTJk1x99dX89re/JSoqipdeeolrrrmGw4cPk5vb+cXs//zP//Doo4/y+9//nqeffpqbb76ZoqIiUlO7d2G22WzOYOXjjz+mtbWVJUuWsGDBAjZu3AjAzTffzKRJk/jLX/6CyWRi7969REaqAZlLlizBYrHwySefEBcXx5dffkl8fHy379sTJGAJJe5ZFSkJCYIQCDoT3VafArtVtT3HZwV/XT2gscXK6AfeD/r7fvnQPGLN3X9tJiUlYTabiY2NJSvrwv/bhx56iK997WvOf6empjJhwgTnv3/961/z5ptvsnbtWpYuXdrp+9x2223cdNNNADz88MP88Y9/ZPv27Vx55ZXdrnH9+vXs27ePgoICcnLU989LL73EmDFj2LFjB9OmTaO4uJh7772XkSNHAjBs2DDn64uLi/nWt77FuHHjABg8eHC379lTpCQUSrQgxRgBCb7bFQuCIHSKM8NSAja3rIRWDkrOUyVqIWhMnTq1zb/r6uq45557GDVqFMnJycTHx3Pw4EGKi4u7PM748eOd23FxcSQmJjot8Lvj4MGD5OTkOIMVgNGjR5OcnMzBgwcBWLZsGXfccQdz587ld7/7HcePH3fu+9Of/pTf/OY3zJ49mwcffJAvvvjCo/ftCZJhCSVaZ1BifzD2fJKlIAjCBcRngMGksil1ZS4Rbhh3CMVEmvjyoXkheV9/0L7b55577uHDDz/kscceY+jQocTExHDDDTdgsVi6PI5WntEwGAzYbDa/rBHgV7/6Fd/97nd55513eO+993jwwQd57bXXuO6667jjjjuYN28e77zzDh988AGPPPIIjz/+OD/5yU/89v7tkbA6lOReBKYoGDQn1CsRBKG3YjRBgqMs4V4WCoMpzZ1hMBiINUcE/eaNW6vZbMZq9Uxns2nTJm677Tauu+46xo0bR1ZWllPvEihGjRrFyZMnOXnypPOxL7/8kqqqKkaPHu18bPjw4fzsZz/jgw8+4Prrr+f55593PpeTk8OPfvQj1qxZw3/913+xatWqgK5ZApZQ0m8I/PwEfPPpUK9EEITejLMs5B6wFKr7MMywhAP5+fls27aNwsJCysvLu8x8DBs2jDVr1rB3714+//xzvvvd7/o1U9IRc+fOZdy4cdx8883s3r2b7du3s3DhQubMmcPUqVNpbGxk6dKlbNy4kaKiIjZt2sSOHTsYNWoUAHfffTfvv/8+BQUF7N69mw0bNjifCxQSsISaqHix5BcEIbBoGjn3DEtFobqXluaAcM8992AymRg9ejTp6eld6lGeeOIJUlJSmDVrFtdccw3z5s1j8uTJAV2fwWDg7bffJiUlhUsvvZS5c+cyePBgXn/9dQBMJhPnz59n4cKFDB8+nBtvvJGrrrqK//mf/wHUFO0lS5YwatQorrzySoYPH86f//znwK7ZbrfbA/oOQaCmpoakpCSqq6tJTNT3AC9BEISg894vYNtfYPZd8LWHwG6HRwaCpQ6W7ID04aFeYac0NTVRUFDAoEGDiI6O7v4Fgi7p7Ofozfe3ZFgEQRB6O057focXS8N5FaxgcA1iFQSdIwGLIAhCbyexnReL1iGU2B8iJWshhAc+BSwrVqwgPz+f6OhoZsyYwfbt2zvd94UXXnBaE2u39mk9u93OAw88QHZ2NjExMcydO5ejR4/6sjRBEAShPe0HIIZxh5DQd/E6YHn99ddZtmwZDz74ILt372bChAnMmzevS7OaxMREzp4967wVFRW1ef7RRx/lj3/8IytXrmTbtm3ExcUxb948mpqavP9EgiAIQlvc7fntdrcOofxQrUgQvMbrgOWJJ55g8eLFLFq0iNGjR7Ny5UpiY2NZvXp1p68xGAxkZWU5b5mZmc7n7HY7Tz31FP/v//0/5s+fz/jx43nppZc4c+YMb731lk8fShAEQXBD6xJqbYLGSldJSDqEhDDCq4DFYrGwa9cu5s6d6zqA0cjcuXPZsmVLp6+rq6sjLy+PnJwc5s+fz4EDB5zPFRQUUFJS0uaYSUlJzJgxo9NjNjc3U1NT0+YmCIIgdEJEFMSmqe2aM1ISEsISrwKW8vJyrFZrmwwJQGZmJiUlJR2+ZsSIEaxevZq3336bl19+GZvNxqxZszh16hSA83XeHPORRx4hKSnJeXOfhSAIgiB0QKKbF4uYxglhSMC7hGbOnMnChQuZOHEic+bMYc2aNaSnp/PMM8/4fMzly5dTXV3tvLlbCwuCIAgdkDhA3VccV1oWkAyLEFZ4FbCkpaVhMpkoLS1t83hpaWmHI7Q7IjIykkmTJnHs2DEA5+u8OWZUVBSJiYltboIgCEIXaMLbos3qPioJYlJCtx5B8BKvAhaz2cyUKVNYv3698zGbzcb69euZOXOmR8ewWq3s27eP7GyVnhw0aBBZWVltjllTU8O2bds8PqYgCILQDQntApbUfBkLonPy8/N56qmnOn3+tttu49prrw3aekJNhLcvWLZsGbfeeitTp05l+vTpPPXUU9TX17No0SIAFi5cyIABA3jkkUcAeOihh7jooosYOnQoVVVV/P73v6eoqIg77rgDUB1Ed999N7/5zW8YNmwYgwYN4v7776d///596gchCIIQULQMS0O5updykBBmeB2wLFiwgHPnzvHAAw9QUlLCxIkTWbdunVM0W1xcjNHoStxUVlayePFiSkpKSElJYcqUKWzevLnN+Oqf//zn1NfX84Mf/ICqqiouvvhi1q1bJ3MjBEEQ/IUmutWQlmYhzPBJdLt06VKKiopobm5m27ZtzJgxw/ncxo0beeGFF5z/fvLJJ537lpSU8M477zBp0qQ2xzMYDDz00EOUlJTQ1NTERx99xPDh+h3GJQiCEHZoolsN6RAKGM8++yz9+/fHZrO1eXz+/Pl8//vfB+D48ePMnz+fzMxM4uPjmTZtGh999FGP3re5uZmf/vSnZGRkEB0dzcUXX8yOHTucz1dWVnLzzTeTnp5OTEwMw4YN4/nnnweUbcnSpUvJzs4mOjqavLw8Z6VEL3idYREEQRDCEK0kpBHOJSG7HVoagv++kbEe6X6+/e1v85Of/IQNGzbw1a9+FYCKigrWrVvHu+++Cyh/squvvprf/va3REVF8dJLL3HNNddw+PBhcnN9G0j585//nH/961+8+OKL5OXl8eijjzJv3jyOHTtGamoq999/P19++SXvvfceaWlpHDt2jMbGRgD++Mc/snbtWv7xj3+Qm5vLyZMnddeBKwGLIAhCXyAqAcwJYKlV/w7nklBLAzzcv/v9/M1/nwFzXLe7paSkcNVVV/Hqq686A5Y33niDtLQ0Lr/8cgAmTJjAhAkTnK/59a9/zZtvvsnatWtZunSp10urr6/nL3/5Cy+88AJXXXUVAKtWreLDDz/kr3/9K/feey/FxcVMmjSJqVOnAkrUq1FcXMywYcO4+OKLMRgM5OXleb2GQCPTmgVBEPoKWpbFGAlJA0O7ll7OzTffzL/+9S+am5sBeOWVV/jOd77j1HjW1dVxzz33MGrUKJKTk4mPj+fgwYMUFxf79H7Hjx+npaWF2bNnOx+LjIxk+vTpHDx4EIA777yT1157jYkTJ/Lzn/+czZs3O/e97bbb2Lt3LyNGjOCnP/0pH3zwga8fPWBIhkUQBKGvkNgfyg9Dci4YTaFeje9ExqpsRyje10OuueYa7HY777zzDtOmTePTTz/lySefdD5/zz338OGHH/LYY48xdOhQYmJiuOGGG7BYLIFYOQBXXXUVRUVFvPvuu3z44Yd89atfZcmSJTz22GNMnjyZgoIC3nvvPT766CNuvPFG5s6dyxtvvBGw9XiLBCyCIAh9BS3DEs7lIFA6Eg9KM6EkOjqa66+/nldeeYVjx44xYsQIJk+e7Hx+06ZN3HbbbVx33XWAyrgUFhb6/H5DhgzBbDazadMmZzmnpaWFHTt2cPfddzv3S09P59Zbb+XWW2/lkksu4d577+Wxxx4DIDExkQULFrBgwQJuuOEGrrzySioqKkhNTfV5Xf5EAhZBEIS+gtYZlD4ytOvoI9x888184xvf4MCBA9xyyy1tnhs2bBhr1qzhmmuuwWAwcP/991/QVeQNcXFx3Hnnndx7772kpqaSm5vLo48+SkNDA7fffjsADzzwAFOmTGHMmDE0Nzfz73//m1GjRgHwxBNPkJ2dzaRJkzAajfzzn/8kKyuL5ORkn9fkbyRgEQRB6CtMuwOiEmHM9aFeSZ/gK1/5CqmpqRw+fJjvfve7bZ574okn+P73v8+sWbNIS0vjvvvuo6ampkfv97vf/Q6bzcb3vvc9amtrmTp1Ku+//z4pKWoEg9lsZvny5RQWFhITE8Mll1zCa6+9BkBCQgKPPvooR48exWQyMW3aNN599902vmqhxmC32+2hXkRPqampISkpierqapkrJAiC0ItoamqioKCAQYMGiZloGNPZz9Gb72/9hE6CIAiCIAidIAGLIAiCIAi6RwIWQRAEQRB0jwQsgiAIgiDoHglYBEEQBEHQPRKwCIIgCLqnJx4lQujxx89PfFgEQRAE3WI2mzEajZw5c4b09HTMZjMGDyYmC/rAbrdjsVg4d+4cRqMRs9ns87EkYBEEQRB0i9FoZNCgQZw9e5YzZ0IwP0jwC7GxseTm5vbIiE4CFkEQBEHXmM1mcnNzaW1txWq1hno5gpeYTCYiIiJ6nBmTgEUQBEHQPQaDgcjISCIjI0O9FCFEiOhWEARBEATdIwGLIAiCIAi6RwIWQRAEQRB0T6/QsGgDp3s6mlsQBEEQhOChfW9r3+Nd0SsCltraWgBycnJCvBJBEARBELyltraWpKSkLvcx2D0Ja3SOzWbjzJkzJCQk+N1QqKamhpycHE6ePEliYqJfj603+tJnhb71eeWz9l760ueVz9r7sNvt1NbW0r9//249WnpFhsVoNDJw4MCAvkdiYmKv/qVxpy99Vuhbn1c+a++lL31e+ay9i+4yKxoiuhUEQRAEQfdIwCIIgiAIgu6RgKUboqKiePDBB4mKigr1UgJOX/qs0Lc+r3zW3ktf+rzyWfs2vUJ0KwiCIAhC70YyLIIgCIIg6B4JWARBEARB0D0SsAiCIAiCoHskYBEEQRAEQfdIwAKsWLGC/Px8oqOjmTFjBtu3b+9y/3/+85+MHDmS6Ohoxo0bx7vvvhuklfrOI488wrRp00hISCAjI4Nrr72Ww4cPd/maF154AYPB0OYWHR0dpBX3jF/96lcXrH3kyJFdviYcf64A+fn5F3xWg8HAkiVLOtw/3H6un3zyCddccw39+/fHYDDw1ltvtXnebrfzwAMPkJ2dTUxMDHPnzuXo0aPdHtfbv/tg0NVnbWlp4b777mPcuHHExcXRv39/Fi5cyJkzZ7o8pi9/C8Ggu5/rbbfddsG6r7zyym6Pq8efK3T/eTv6GzYYDPz+97/v9Jh6/dkGij4fsLz++ussW7aMBx98kN27dzNhwgTmzZtHWVlZh/tv3ryZm266idtvv509e/Zw7bXXcu2117J///4gr9w7Pv74Y5YsWcLWrVv58MMPaWlp4YorrqC+vr7L1yUmJnL27FnnraioKEgr7jljxoxps/bPPvus033D9ecKsGPHjjaf88MPPwTg29/+dqevCaefa319PRMmTGDFihUdPv/oo4/yxz/+kZUrV7Jt2zbi4uKYN28eTU1NnR7T27/7YNHVZ21oaGD37t3cf//97N69mzVr1nD48GG++c1vdntcb/4WgkV3P1eAK6+8ss26//73v3d5TL3+XKH7z+v+Oc+ePcvq1asxGAx861vf6vK4evzZBgx7H2f69On2JUuWOP9ttVrt/f9/e/cX0tT/xgH83Z9tFcRGmZtmjikpUSklNDQi0FEtoUEXakgY/UUSEgrsJiS6qCi68UK80FkIhTcmJCRubRJiBbbILERlLISmJLgUs8XO87v44aHZ/nj8NneOPi8YbOc858Pns/ce+GxOlp5Od+/ejVhfVlZGpaWlYcfMZjNduXIlofP81yYnJwkA9fb2Rq2x2+2k1WpXblL/UH19PeXn5y+5frXkSkR07do1ys7OJkEQIp5Xcq4AqKOjQ3wsCAIZDAZ68OCBeGx6epo0Gg09ffo06jhS+z4ZFq81knfv3hEA8vl8UWuk9kIyRFprVVUV2Ww2SeMoIVeipWVrs9mouLg4Zo0Ssv2X1vQnLMFgEAMDA7BYLOKx9evXw2KxoL+/P+I1/f39YfUAcPz48aj1chUIBAAA27Zti1k3OzsLo9GIXbt2wWazYWhoaCWm90+MjIwgPT0dWVlZqKysxNevX6PWrpZcg8Eg2tracP78+Zg/BKrkXP/k9Xrh9/vDstNqtTCbzVGzW07fy1UgEMC6deug0+li1knpBTlxu91ITU1Fbm4uqqurMTU1FbV2NeU6MTGBrq4uXLhwIW6tUrNdjjW9Yfn+/TtCoRD0en3Ycb1eD7/fH/Eav98vqV6OBEFAbW0tDh8+jH379kWty83NRUtLCzo7O9HW1gZBEFBUVITx8fEVnO3ymM1mtLa24uXLl2hsbITX68WRI0cwMzMTsX415AoAz58/x/T0NM6dOxe1Rsm5LraQj5TsltP3cjQ/P4+6ujqcOXMm5o/jSe0FuThx4gSePHkCp9OJ+/fvo7e3F1arFaFQKGL9askVAB4/foytW7fi9OnTMeuUmu1yrYpfa2bSXL16FZ8+fYr7t87CwkIUFhaKj4uKirBnzx40NTXhzp07iZ7mf2K1WsX7eXl5MJvNMBqNaG9vX9K7FqVqbm6G1WpFenp61Bol58r+7/fv3ygrKwMRobGxMWatUnuhoqJCvL9//37k5eUhOzsbbrcbJSUlSZxZ4rW0tKCysjLul+GVmu1yrelPWFJSUrBhwwZMTEyEHZ+YmIDBYIh4jcFgkFQvNzU1NXjx4gVcLhcyMjIkXatSqXDgwAGMjo4maHaJo9PpkJOTE3XuSs8VAHw+HxwOBy5evCjpOiXnupCPlOyW0/dysrBZ8fl86OnpifnpSiTxekGusrKykJKSEnXeSs91wevXrzE8PCy5jwHlZrtUa3rDolarUVBQAKfTKR4TBAFOpzPsHeifCgsLw+oBoKenJ2q9XBARampq0NHRgVevXsFkMkkeIxQKYXBwEGlpaQmYYWLNzs5ibGws6tyVmuuf7HY7UlNTUVpaKuk6JedqMplgMBjCsvvx4wfevn0bNbvl9L1cLGxWRkZG4HA4sH37dsljxOsFuRofH8fU1FTUeSs51z81NzejoKAA+fn5kq9VarZLluxv/Sbbs2fPSKPRUGtrK33+/JkuX75MOp2O/H4/ERGdPXuWbt68Kdb39fXRxo0b6eHDh/Tlyxeqr68nlUpFg4ODyVrCklRXV5NWqyW3203fvn0Tb3Nzc2LN4rXevn2buru7aWxsjAYGBqiiooI2bdpEQ0NDyViCJNevXye3201er5f6+vrIYrFQSkoKTU5OEtHqyXVBKBSizMxMqqur++uc0nOdmZkhj8dDHo+HANCjR4/I4/GI/xlz79490ul01NnZSR8/fiSbzUYmk4l+/vwpjlFcXEwNDQ3i43h9nyyx1hoMBunUqVOUkZFBHz58COvjX79+iWMsXmu8XkiWWGudmZmhGzduUH9/P3m9XnI4HHTw4EHavXs3zc/Pi2MoJVei+K9jIqJAIEBbtmyhxsbGiGMoJdtEWfMbFiKihoYGyszMJLVaTYcOHaI3b96I544ePUpVVVVh9e3t7ZSTk0NqtZr27t1LXV1dKzxj6QBEvNntdrFm8Vpra2vF50Wv19PJkyfp/fv3Kz/5ZSgvL6e0tDRSq9W0c+dOKi8vp9HRUfH8asl1QXd3NwGg4eHhv84pPVeXyxXxtbuwJkEQ6NatW6TX60mj0VBJSclfz4PRaKT6+vqwY7H6PllirdXr9UbtY5fLJY6xeK3xeiFZYq11bm6Ojh07Rjt27CCVSkVGo5EuXbr018ZDKbkSxX8dExE1NTXR5s2baXp6OuIYSsk2UdYRESX0IxzGGGOMsf9oTX+HhTHGGGPKwBsWxhhjjMkeb1gYY4wxJnu8YWGMMcaY7PGGhTHGGGOyxxsWxhhjjMkeb1gYY4wxJnu8YWGMMcaY7PGGhTHGGGOyxxsWxhhjjMkeb1gYY4wxJnu8YWGMMcaY7P0PLY2oGJmWhU8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "KeyError",
     "evalue": "'f1-score'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[12], line 23\u001b[0m\n\u001b[0;32m     20\u001b[0m plt\u001b[38;5;241m.\u001b[39msavefig(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAccVal_acc\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m     22\u001b[0m \u001b[38;5;66;03m# f1-score\u001b[39;00m\n\u001b[1;32m---> 23\u001b[0m plt\u001b[38;5;241m.\u001b[39mplot(\u001b[43mr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhistory\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mf1-score\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtrain f1-score\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m     24\u001b[0m plt\u001b[38;5;241m.\u001b[39mplot(r\u001b[38;5;241m.\u001b[39mhistory[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mval_f1-score\u001b[39m\u001b[38;5;124m'\u001b[39m], label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mval f1-score\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m     25\u001b[0m plt\u001b[38;5;241m.\u001b[39mlegend()\n",
      "\u001b[1;31mKeyError\u001b[0m: 'f1-score'"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# loss\n",
    "plt.plot(r.history['loss'], label='train loss')\n",
    "plt.plot(r.history['val_loss'], label='val loss')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "plt.savefig('LossVal_loss')\n",
    "\n",
    "# # accuracies\n",
    "# plt.plot(r.history['accuracies'], label='train accuracy')\n",
    "# plt.plot(r.history['val_accuracies'], label='val accuracy')\n",
    "# plt.legend()\n",
    "# plt.show()\n",
    "# plt.savefig('AccVal_acc')\n",
    "\n",
    "# precision\n",
    "plt.plot(r.history['precision'], label='train precision')\n",
    "plt.plot(r.history['val_precision'], label='val precision')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "plt.savefig('AccVal_acc')\n",
    "\n",
    "# f1-score\n",
    "plt.plot(r.history['f1-score'], label='train f1-score')\n",
    "plt.plot(r.history['val_f1-score'], label='val f1-score')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "plt.savefig('AccVal_acc')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练损失：[0.857830286026001, 0.6014365553855896, 0.5863223671913147, 0.5942472815513611, 0.590221643447876, 0.6723110675811768, 0.5840475559234619, 0.6409142017364502, 0.5750640034675598, 0.7049286365509033, 0.5713770985603333, 0.5416135787963867, 0.5671802759170532, 0.6032811403274536, 0.5671920776367188, 0.5614052414894104, 0.5583752989768982, 0.48815739154815674, 0.5535619854927063, 0.5473982095718384]\n",
      "测试损失：[0.6032821536064148, 0.6334810256958008, 0.5707744359970093, 0.684059202671051, 0.6110481023788452, 0.5474335551261902, 0.5675171613693237, 0.652307391166687, 0.6023738384246826, 0.7653351426124573, 0.5795993208885193, 0.5599032640457153, 0.570033848285675, 0.6058194041252136, 0.584831178188324, 0.4768455922603607, 0.5726993083953857, 0.5814239978790283, 0.5680299401283264, 0.5153611302375793]\n",
      "训练precision：[0.6430412530899048, 0.6875, 0.706615149974823, 0.6875, 0.7001718282699585, 0.609375, 0.7083333134651184, 0.65625, 0.7130584120750427, 0.625, 0.7057560086250305, 0.765625, 0.7182130813598633, 0.671875, 0.7117697596549988, 0.75, 0.7263745665550232, 0.75, 0.7242268323898315, 0.6875]\n",
      "测试precision：[0.7102272510528564, 0.6666666865348816, 0.7144886255264282, 0.625, 0.6988636255264282, 0.75, 0.7130681872367859, 0.6458333134651184, 0.7073863744735718, 0.625, 0.7272727489471436, 0.6875, 0.7116477489471436, 0.7083333134651184, 0.703125, 0.8125, 0.7088068127632141, 0.7708333134651184, 0.7244318127632141, 0.75]\n"
     ]
    }
   ],
   "source": [
    "print(f'训练损失：{r.history['loss']}')\n",
    "print(f'测试损失：{r.history['val_loss']}')\n",
    "print(f'训练precision：{r.history['precision']}')\n",
    "print(f'测试precision：{r.history['val_precision']}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m12/12\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 2s/step\n",
      "[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0\n",
      " 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 0 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1\n",
      " 1 1 1 1 0 1 1 1 1 1 1 1]\n"
     ]
    }
   ],
   "source": [
    "predictions = model.predict(test_generator).argmax( axis=-1 ) \n",
    "print ( predictions )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "722\n"
     ]
    }
   ],
   "source": [
    "print(sum(predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F1_score :  0.6835106382978723\n",
      "sensitibity :  0.6835106382978723\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.27      0.04      0.06       224\n",
      "           1       0.70      0.96      0.81       528\n",
      "\n",
      "    accuracy                           0.68       752\n",
      "   macro avg       0.48      0.50      0.44       752\n",
      "weighted avg       0.57      0.68      0.59       752\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import f1_score\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "#print(test_generator)\n",
    "print('F1_score : ',f1_score(test_generator.classes,predictions,average='micro'))\n",
    "print('sensitibity : ',metrics.recall_score(test_generator.classes,predictions,average='micro'))\n",
    "from sklearn.metrics import classification_report\n",
    "print(classification_report(test_generator.classes, predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.49702380952380953\n",
      "-0.013909209950387578\n"
     ]
    }
   ],
   "source": [
    "def plot_roc_curve(fpr,tpr): \n",
    "  plt.plot(fpr,tpr) \n",
    "  plt.axis([0,1,0,1]) \n",
    "  plt.xlabel('False Positive Rate') \n",
    "  plt.ylabel('True Positive Rate') \n",
    "  plt.show() \n",
    "from sklearn.metrics import roc_curve,roc_auc_score\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import matthews_corrcoef\n",
    "\n",
    "fpr , tpr , thresholds = roc_curve (test_generator.classes,predictions)\n",
    "plot_roc_curve (fpr,tpr)\n",
    "auc_score=roc_auc_score(test_generator.classes,predictions) \n",
    "print(auc_score) \n",
    "print(matthews_corrcoef(test_generator.classes,predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'predictions' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[6], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m fbeta_score\n\u001b[1;32m----> 3\u001b[0m f_measure \u001b[38;5;241m=\u001b[39m fbeta_score(test_generator\u001b[38;5;241m.\u001b[39mclasses, \u001b[43mpredictions\u001b[49m, beta\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.0\u001b[39m, average\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmacro\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      4\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mF-Measure: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mf_measure\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m.2f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'predictions' is not defined"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import fbeta_score\n",
    "\n",
    "f_measure = fbeta_score(test_generator.classes, predictions, beta=1.0, average='macro')\n",
    "print(f\"F-Measure: {f_measure:.2f}\")\n"
   ]
  }
 ],
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